{"id":46173,"url":"https://github.com/walsvid/Awesome-MVS","name":"Awesome-MVS","description":"Awesome list of multi-view stereo papers","projects_count":517,"last_synced_at":"2026-10-01T01:00:36.735Z","repository":{"id":38106278,"uuid":"466408176","full_name":"walsvid/Awesome-MVS","owner":"walsvid","description":"Awesome list of multi-view stereo papers","archived":false,"fork":false,"pushed_at":"2025-08-24T14:57:37.000Z","size":86,"stargazers_count":842,"open_issues_count":1,"forks_count":51,"subscribers_count":37,"default_branch":"main","last_synced_at":"2026-09-11T04:07:09.518Z","etag":null,"topics":["awesome","multi-view-stereo","mvs","mvsnet","sfm","structure-from-motion"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/walsvid.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2022-03-05T09:30:35.000Z","updated_at":"2026-08-22T21:54:55.000Z","dependencies_parsed_at":"2024-03-28T15:15:14.488Z","dependency_job_id":"06986da2-1b24-4e23-aa5d-f2ebb8c0e3c8","html_url":"https://github.com/walsvid/Awesome-MVS","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/walsvid/Awesome-MVS","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/walsvid%2FAwesome-MVS","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/walsvid%2FAwesome-MVS/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/walsvid%2FAwesome-MVS/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/walsvid%2FAwesome-MVS/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/walsvid","download_url":"https://codeload.github.com/walsvid/Awesome-MVS/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/walsvid%2FAwesome-MVS/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":342085742,"owners_count":37891630,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-08-22T15:14:58.755Z","status":"online","status_checked_at":"2026-09-30T02:00:06.001Z","response_time":133,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"created_at":"2024-01-14T07:31:36.833Z","updated_at":"2026-10-01T01:00:36.736Z","primary_language":null,"list_of_lists":false,"displayable":true,"categories":["Learning-based MVS Methods","PatchMatch-based MVS Methods"],"sub_categories":["2023","2021","2018","2020","2019","Early","2022","2017","2024","Other Resources","2025"],"readme":"# Awesome-MVS\n\n[![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)\n\n\u003e Contributions welcomed!\n\u003e\n\u003e Learning-based [2025](#2025) | [2024](#2024) | [2023](#2023) | [2022](#2022) | [2021](#2021) | [2020](#2020) | [2019](#2019) | [2018](#2018) | [2017](#2017)\n\u003e\n\u003e Traditional [2025](#2025-1) | [2024](#2024-1) | [2023](#2023-1) | [2022](#2022-1) | [2021](#2021-1) | [2020](#2020-1) | [2019](#2019-1) | [2018](#2018-1) | [Early](#early)\n\n## Learning-based MVS Methods\n\n### 2025\n\n#### ICG-MVSNet: Learning Intra-view and Cross-view Relationships for Guidance in Multi-View Stereo\n- ![Publication](https://img.shields.io/badge/2025-ICME-06923e)  [![Paper](http://img.shields.io/badge/arxiv-arxiv.2503.21525-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2503.21525)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/YuhsiHu/ICG-MVSNet?logo=github\u0026label=Stars)](https://github.com/YuhsiHu/ICG-MVSNet)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202506280031370.png)\n\n\n#### ETV-MVS: Robust Visibility-Aware Multi-View Stereo with Epipolar\n- ![Publication](https://img.shields.io/badge/2025-BDMA-3a506b) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://www.sciopen.com/article/10.26599/BDMA.2024.9020075)\n- ![Other](https://img.shields.io/badge/Other-white.svg?logoColor=black\u0026logo=ghostery) [![GitHub stars](https://img.shields.io/github/stars/npucvr/ETV-MVS?logo=github\u0026label=Stars)](https://github.com/npucvr/ETV-MVS)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202506280036654.png)\n\n\n### 2024\n\n#### Adaptive Feature Enhanced Multi-View Stereo With Epipolar Line Information Aggregation - [EIA-MVS]\n- ![Publication](https://img.shields.io/badge/2024-R--AL-d10465) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://ieeexplore.ieee.org/abstract/document/10700633)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/bdwsq1996/EIA-MVS?logo=github\u0026label=Stars)](https://github.com/bdwsq1996/EIA-MVS)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202506280014427.png)\n\n\n#### Smoothness, Synthesis, and Sampling: Re-thinking Unsupervised Multi-View Stereo with DIV Loss\n- ![Publication](https://img.shields.io/badge/2024-ECCV-f3722c) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/08045.pdf) [![Supp](https://img.shields.io/badge/Supplementary-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://alexrich021.github.io/div-loss/static/div-loss-supp-eccv-2024.pdf)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/alexrich021/div-loss?logo=github\u0026label=Stars)](https://github.com/alexrich021/div-loss)\n- ![SelfSup](https://img.shields.io/badge/Self--Surpervised-ffe169.svg?logo=fing\u0026logoColor=black)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/20250628000037.png)\n\n\n#### GoMVS: Geometrically Consistent Cost Aggregation for Multi-View Stereo\n\n- ![Publication](https://img.shields.io/badge/2024-CVPR-43aa8b)  [![Paper](http://img.shields.io/badge/arxiv-arxiv.2404.07992-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2404.07992)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/Wuuu3511/GoMVS?logo=github\u0026label=Stars)](https://github.com/Wuuu3511/GoMVS)\n- [![Webpage](https://img.shields.io/badge/Project-Page-3cba54?style=flat\u0026logo=Google%20chrome\u0026logoColor=white)](https://wuuu3511.github.io/gomvs/)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/202404132156724.png)\n\n#### Multi-View Stereo Reconstruction Based on Adaptive Aggregation and Coordinate Attention Mechanism - [AC-MVSNet]\n\n- ![Publication](https://img.shields.io/badge/2024-ICCECT-3a506b) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://ieeexplore.ieee.org/abstract/document/10546032)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/202408212146261.png)\n\n#### Attention-Enhanced Multi-View Stereo with Probabilistic Depth Variance Refinement - [AE-DR-MVSNet]\n\n- ![Publication](https://img.shields.io/badge/2024-CSCWD-3a506b) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://ieeexplore.ieee.org/abstract/document/10580799)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/202408212158146.png)\n\n#### CT-MVSNet: Efficient Multi-View Stereo with Cross-scale Transformer\n\n- ![Publication](https://img.shields.io/badge/2024-MMM-3a506b) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://link.springer.com/chapter/10.1007/978-3-031-53308-2_29) [![Paper](http://img.shields.io/badge/arxiv-arxiv.2312.08594-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2312.08594)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/wscstrive/CT-MVSNet?logo=github\u0026label=Stars)](https://github.com/wscstrive/CT-MVSNet)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/202405240123029.png)\n\n#### Feature Distribution Normalization Network for Multi-View Stereo - [FDN-MVS]\n\n- ![Publication](https://img.shields.io/badge/2024-The_Visual_Computer-3a506b) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://link.springer.com/article/10.1007/s00371-024-03334-1)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/ZYangChen/FDN-MVS?logo=github\u0026label=Stars)](https://github.com/ZYangChen/FDN-MVS)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/202405240147119.png)\n\n#### MVSFormer++: Revealing the Devil in Transformer's Details for Multi-View Stereo\n\n- ![Publication](https://img.shields.io/badge/2024-ICLR-a8dadc) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openreview.net/forum?id=wXWfvSpYHh) [![Paper](http://img.shields.io/badge/arxiv-arxiv.2401.11673-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2401.11673)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/maybeLx/MVSFormerPlusPlus?logo=github\u0026label=Stars)](https://github.com/maybeLx/MVSFormerPlusPlus)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/202401242308703.png)\n\n#### RobustMVS: Single Domain Generalized Deep Multi-view Stereo\n\n- ![Publication](https://img.shields.io/badge/2024-TCSVT-cd6688) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://ieeexplore.ieee.org/abstract/document/10528330)\n- ![Other](https://img.shields.io/badge/Other-white.svg?logoColor=black\u0026logo=ghostery) [![GitHub stars](https://img.shields.io/github/stars/ToughStoneX/Robust-MVS?logo=github\u0026label=Stars)](https://github.com/ToughStoneX/Robust-MVS)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/202405240006332.png)\n\n#### CT-MVSNet: Curvature-Guided Multi-View Stereo with Transformers\n\n- ![Publication](https://img.shields.io/badge/2024-MTA-3a506b) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://link.springer.com/article/10.1007/s11042-024-19227-3)\n- ![Other](https://img.shields.io/badge/Other-white.svg?logoColor=black\u0026logo=ghostery) [![GitHub stars](https://img.shields.io/github/stars/Sun-Licheng/CT-MVSNet?logo=github\u0026label=Stars)](https://github.com/Sun-Licheng/CT-MVSNet)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/202405240056854.png)\n\n#### Learning Deformable Hypothesis Sampling for Accurate PatchMatch - [DS-PMNet]\n\n- ![Publication](https://img.shields.io/badge/2024-AAAI-ffafcc)  [![Paper](http://img.shields.io/badge/arxiv-arxiv.2312.15970-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2312.15970)\n- ![Other](https://img.shields.io/badge/Other-white.svg?logoColor=black\u0026logo=ghostery) [![GitHub stars](https://img.shields.io/github/stars/Geo-Tell/DS-PMNet?logo=github\u0026label=Stars)](https://github.com/Geo-Tell/DS-PMNet)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/202401250205076.png)\n\n#### HAMMER: Learning Entropy Maps to Create Accurate 3D Models in Multi-View Stereo\n\n- ![Publication](https://img.shields.io/badge/2024-WACV-9d4edd) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content/WACV2024/papers/Weilharter_HAMMER_Learning_Entropy_Maps_To_Create_Accurate_3D_Models_in_WACV_2024_paper.pdf) [![Supp](https://img.shields.io/badge/Supplementary-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content/WACV2024/supplemental/Weilharter_HAMMER_Learning_Entropy_WACV_2024_supplemental.pdf)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/202401250131827.png)\n\n#### GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View Stereo\n\n- ![Publication](https://img.shields.io/badge/2024-WACV-9d4edd) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content/WACV2024/papers/Vats_GC-MVSNet_Multi-View_Multi-Scale_Geometrically-Consistent_Multi-View_Stereo_WACV_2024_paper.pdf) [![Supp](https://img.shields.io/badge/Supplementary-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content/WACV2024/supplemental/Vats_GC-MVSNet_Multi-View_Multi-Scale_WACV_2024_supplemental.pdf) [![Paper](http://img.shields.io/badge/arxiv-arxiv.2310.19583-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2310.19583)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/vkvats/GC-MVSNet?logo=github\u0026label=Stars)](https://github.com/vkvats/GC-MVSNet)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/202401242326111.png)\n\n### 2023\n\n#### Semi-supervised Deep Multi-view Stereo - [SDA-MVS]\n\n- ![Publication](https://img.shields.io/badge/2023-ACMMM-5bb318) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://dl.acm.org/doi/10.1145/3581783.3611931)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/202311130002999.png)\n\n#### S-OmniMVS: Incorporating Sphere Geometry into Omnidirectional Stereo Matching\n\n- ![Publication](https://img.shields.io/badge/2023-ACMMM-5bb318) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://dl.acm.org/doi/10.1145/3581783.3612381)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/202311122358397.png)\n\n#### When Epipolar Constraint Meets Non-Local Operators in Multi-View Stereo - [ET-MVSNet]\n\n- ![Publication](https://img.shields.io/badge/2023-ICCV-f9c74f) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content/ICCV2023/papers/Liu_When_Epipolar_Constraint_Meets_Non-Local_Operators_in_Multi-View_Stereo_ICCV_2023_paper.pdf) [![Supp](https://img.shields.io/badge/Supplementary-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content/ICCV2023/supplemental/Liu_When_Epipolar_Constraint_ICCV_2023_supplemental.pdf)\n- ![Other](https://img.shields.io/badge/Other-white.svg?logoColor=black\u0026logo=ghostery) [![GitHub stars](https://img.shields.io/github/stars/TQTQliu/ET-MVSNet?logo=github\u0026label=Stars)](https://github.com/TQTQliu/ET-MVSNet)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202310052033023.png)\n\n#### CL-MVSNet: Unsupervised Multi-View Stereo with Dual-Level Contrastive Learning\n\n- ![Publication](https://img.shields.io/badge/2023-ICCV-f9c74f) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content/ICCV2023/papers/Xiong_CL-MVSNet_Unsupervised_Multi-View_Stereo_with_Dual-Level_Contrastive_Learning_ICCV_2023_paper.pdf) [![Supp](https://img.shields.io/badge/Supplementary-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content/ICCV2023/supplemental/Xiong_CL-MVSNet_Unsupervised_Multi-View_Stereo_with_Dual-Level_Contrastive_Learning_ICCV_2023_supplemental.pdf)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/KaiqiangXiong/CL-MVSNet?logo=github\u0026label=Stars)](https://github.com/KaiqiangXiong/CL-MVSNet)\n- ![SelfSup](https://img.shields.io/badge/Self--Surpervised-ffe169.svg?logo=fing\u0026logoColor=black)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202310052016057.png)\n\n#### Constraining Depth Map Geometry for Multi-View Stereo: A Dual-Depth Approach with Saddle-shaped Depth Cells - [DMVSNet]\n\n- ![Publication](https://img.shields.io/badge/2023-ICCV-f9c74f) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content/ICCV2023/papers/Ye_Constraining_Depth_Map_Geometry_for_Multi-View_Stereo_A_Dual-Depth_Approach_ICCV_2023_paper.pdf) [![Supp](https://img.shields.io/badge/Supplementary-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content/ICCV2023/supplemental/Ye_Constraining_Depth_Map_ICCV_2023_supplemental.pdf) [![Paper](http://img.shields.io/badge/arxiv-arxiv.2307.09160-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2307.09160)\n- ![Other](https://img.shields.io/badge/Other-white.svg?logoColor=black\u0026logo=ghostery) [![GitHub stars](https://img.shields.io/github/stars/DIVE128/DMVSNet?logo=github\u0026label=Stars)](https://github.com/DIVE128/DMVSNet)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202307270001021.png)\n\n#### Bi-ClueMVSNet: Learning Bidirectional Occlusion Clues for Multi-View Stereo\n\n- ![Publication](https://img.shields.io/badge/2023-IJCNN-191d88) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://ieeexplore.ieee.org/abstract/document/10191325)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202308272343226.png)\n\n#### Costformer: Cost Transformer for Cost Aggregation in Multi-View Stereo\n\n- ![Publication](https://img.shields.io/badge/2023-IJCAI-9cff2e)  [![Paper](http://img.shields.io/badge/arxiv-arxiv.2305.10320-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2305.10320)\n- ![Other](https://img.shields.io/badge/Other-white.svg?logoColor=black\u0026logo=ghostery) [![GitHub stars](https://img.shields.io/github/stars/xmjtt/costformer?logo=github\u0026label=Stars)](https://github.com/xmjtt/costformer)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202307262359892.png)\n\n#### Multi‑View Stereo Network With Point Attention - [PA-PointMVSNet]\n\n- ![Publication](https://img.shields.io/badge/2023-Applied_Intelligence-3a506b) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://link.springer.com/article/10.1007/s10489-023-04806-y)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202309012157495.png)\n\n#### Edge-Aware Spatial Propagation Network for Multi-view Depth Estimation\n\n- ![Publication](https://img.shields.io/badge/2023-NPL-3a506b) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://link.springer.com/article/10.1007/s11063-023-11356-4)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202308280044340.png)\n\n#### Uncertainty Awareness With Adaptive Propagation for Multi-View Stereo - [AP-UCSNet]\n\n- ![Publication](https://img.shields.io/badge/2023-Applied_Intelligence-3a506b) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://link.springer.com/article/10.1007/s10489-023-04910-z)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202308272332773.png)\n\n#### AdaptMVSNet: Efficient Multi-View Stereo With Adaptive Convolution and Attention Fusion\n\n- ![Publication](https://img.shields.io/badge/2023-CG-3a506b) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://www.sciencedirect.com/science/article/abs/pii/S0097849323001838)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202308280036313.png)\n\n#### Adaptive Region Aggregation for Multi-View Stereo Matching Using Deformable Convolutional Networks\n\n- ![Publication](https://img.shields.io/badge/2023-The_Photogrammetric_Record-3a506b) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://onlinelibrary.wiley.com/doi/epdf/10.1111/phor.12459)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202308280213924.png)\n\n#### RepC-MVSNet: A Reparameterized Self-Supervised 3D Reconstruction Algorithm for Wheat 3D Reconstruction\n\n- ![Publication](https://img.shields.io/badge/2023-Agronomy-3a506b) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://www.mdpi.com/2073-4395/13/8/1975)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202308280126231.png)\n\n#### ES-MVSNet: Efficient Framework for End-to-end Self-supervised Multi-View Stereo\n\n- ![Publication](https://img.shields.io/badge/2023-CoRR-b31b1b)  [![Paper](http://img.shields.io/badge/arxiv-arxiv.2308.02191-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2308.02191)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202308272325517.png)\n\n#### ARAI-MVSNet: A Multi-View Stereo Depth Estimation Network With Adaptive Depth Range and Depth Interval\n\n- ![Publication](https://img.shields.io/badge/2023-Pattern_Recognition-3a506b) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://www.sciencedirect.com/science/article/abs/pii/S0031320323005836) [![Paper](http://img.shields.io/badge/arxiv-arxiv.2308.09022-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2308.09022)\n- ![Other](https://img.shields.io/badge/Other-white.svg?logoColor=black\u0026logo=ghostery) [![GitHub stars](https://img.shields.io/github/stars/zs670980918/ARAI-MVSNet?logo=github\u0026label=Stars)](https://github.com/zs670980918/ARAI-MVSNet)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202308261447919.png)\n\n#### DSC-MVSNet: Attention Aware Cost Volume Regularization Based on Depthwise Separable Convolution for Multi-View Stereo\n\n- ![Publication](https://img.shields.io/badge/2023-Complex_Intelligent_Systems-3a506b) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://link.springer.com/article/10.1007/s40747-023-01106-3)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/zs670980918/DSC-MVSNet?logo=github\u0026label=Stars)](https://github.com/zs670980918/DSC-MVSNet)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202307270022879.png)\n\n#### NR-MVSNet: Learning Multi-View Stereo Based on Normal Consistency and Depth Refinement\n\n- ![Publication](https://img.shields.io/badge/2023-TIP-9a8c98) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://ieeexplore.ieee.org/abstract/document/10120723)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/wdkyh/NR-MVSNet?logo=github\u0026label=Stars)](https://github.com/wdkyh/NR-MVSNet)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202307270037280.png)\n\n#### PT-MVSNet: Overlapping Attention Multi-view Stereo Network with Transformers\n\n- ![Publication](https://img.shields.io/badge/2023-CVIDL-3a506b) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://ieeexplore.ieee.org/abstract/document/10167367)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202307270030195.png)\n\n#### Multi-View Stereo Network With Gaussian Distribution Iteration - [GDINet]\n\n- ![Publication](https://img.shields.io/badge/2023-IEEE--Access-3a506b) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://ieeexplore.ieee.org/document/10138389)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202307270026003.png)\n\n#### A-SATMVSNet: An Attention-Aware Multi-View Stereo Matching Network Based on Satellite Imagery\n\n- ![Publication](https://img.shields.io/badge/2023-FES-3a506b) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://www.frontiersin.org/articles/10.3389/feart.2023.1108403/full)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202307270059596.png)\n\n#### GeoMVSNet: Learning Multi-View Stereo with Geometry Perception\n\n- ![Publication](https://img.shields.io/badge/2023-CVPR-43aa8b) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content/CVPR2023/papers/Zhang_GeoMVSNet_Learning_Multi-View_Stereo_With_Geometry_Perception_CVPR_2023_paper.pdf) [![Supp](https://img.shields.io/badge/Supplementary-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content/CVPR2023/supplemental/Zhang_GeoMVSNet_Learning_Multi-View_CVPR_2023_supplemental.pdf)\n- ![Other](https://img.shields.io/badge/Other-white.svg?logoColor=black\u0026logo=ghostery) [![GitHub stars](https://img.shields.io/github/stars/doubleZ0108/GeoMVSNet?logo=github\u0026label=Stars)](https://github.com/doubleZ0108/GeoMVSNet)\n- [![Video](https://img.shields.io/badge/Youtube-Video-cc0000?style=flat\u0026logo=youtube\u0026logoColor=cc0000)](https://www.youtube.com/watch?v=XqLDgJAZAKc)\n- [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/geomvsnet-learning-multi-view-stereo-with/point-clouds-on-tanks-and-temples)](https://paperswithcode.com/sota/point-clouds-on-tanks-and-temples?p=geomvsnet-learning-multi-view-stereo-with) [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/geomvsnet-learning-multi-view-stereo-with/3d-reconstruction-on-dtu)](https://paperswithcode.com/sota/3d-reconstruction-on-dtu?p=geomvsnet-learning-multi-view-stereo-with)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202306042251232.png)\n\n#### Multi-View Stereo Representation Revisit: Region-Aware MVSNet - [RA-MVSNet]\n\n- ![Publication](https://img.shields.io/badge/2023-CVPR-43aa8b)  [![Paper](http://img.shields.io/badge/arxiv-arxiv.2304.13614-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2304.13614)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202304301543824.png)\n\n#### RIAV-MVS: Recurrent-Indexing an Asymmetric Volume for Multi-View Stereo\n\n- ![Publication](https://img.shields.io/badge/2023-CVPR-43aa8b)  [![Paper](http://img.shields.io/badge/arxiv-arxiv.2205.14320-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2205.14320)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202304090206212.png)\n\n#### Iterative Geometry Encoding Volume for Stereo Matching - [IGEV-MVS]\n\n- ![Publication](https://img.shields.io/badge/2023-CVPR-43aa8b)  [![Paper](http://img.shields.io/badge/arxiv-arxiv.2303.06615-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2303.06615)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/gangweiX/IGEV?logo=github\u0026label=Stars)](https://github.com/gangweiX/IGEV)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202303141842368.png)\n\n#### N2MVSNet: Non-Local Neighbors Aware Multi-View Stereo Network\n\n- ![Publication](https://img.shields.io/badge/2023-ICASSP-0962ea) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://ieeexplore.ieee.org/document/10095299)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202305150008177.png)\n\n#### Context-Guided Multi-View Stereo with Depth Back-Projection - [ContextMVS]\n\n- ![Publication](https://img.shields.io/badge/2023-MMM-3a506b) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://link.springer.com/chapter/10.1007/978-3-031-27818-1_8)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202304161314334.png)\n\n#### Unsupervised OmniMVS: Efficient Omnidirectional Depth Inference via Establishing Pseudo-Stereo Supervision - [Un-OmniMVS]\n\n- ![Publication](https://img.shields.io/badge/2023-CoRR-b31b1b)  [![Paper](http://img.shields.io/badge/arxiv-arxiv.2302.09922-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2302.09922)\n- ![Other](https://img.shields.io/badge/Other-white.svg?logoColor=black\u0026logo=ghostery) [![GitHub stars](https://img.shields.io/github/stars/Chen-z-s/Un-OmniMVS?logo=github\u0026label=Stars)](https://github.com/Chen-z-s/Un-OmniMVS)\n- ![SelfSup](https://img.shields.io/badge/Self--Surpervised-ffe169.svg?logo=fing\u0026logoColor=black)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202302241044335.png)\n\n#### MG-MVSNet: Multiple Granularities Feature Fusion Network for Multi-View Stereo\n\n- ![Publication](https://img.shields.io/badge/2023-Neurocomputing-3a506b) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://www.sciencedirect.com/science/article/pii/S092523122300070X)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202302041511602.png)\n\n#### FFP-MVSNet: Feature Fusion Based Patchmatch for Multi-View Stereo\n\n- ![Publication](https://img.shields.io/badge/2023-CSPS-3a506b) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://link.springer.com/chapter/10.1007/978-981-99-1260-5_21)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202304042316237.png)\n\n#### MosaicMVS: Mosaic-based Omnidirectional Multi-View Stereo for Indoor Scenes\n\n- ![Publication](https://img.shields.io/badge/2023-TMM-3a506b) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://ieeexplore.ieee.org/document/10005048)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/min-jung-shin/MosaicMVS?logo=github\u0026label=Stars)](https://github.com/min-jung-shin/MosaicMVS)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202301052108279.png)\n\n#### DELS-MVS: Deep Epipolar Line Search for Multi-View Stereo\n\n- ![Publication](https://img.shields.io/badge/2023-WACV-9d4edd) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content/WACV2023/papers/Sormann_DELS-MVS_Deep_Epipolar_Line_Search_for_Multi-View_Stereo_WACV_2023_paper.pdf) [![Supp](https://img.shields.io/badge/Supplementary-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content/WACV2023/supplemental/Sormann_DELS-MVS_Deep_Epipolar_WACV_2023_supplemental.pdf) [![Paper](http://img.shields.io/badge/arxiv-arxiv.2212.06626-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2212.06626)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202212142150147.png)\n\n#### 360MVSNet: Deep Multi-View Stereo Network with 360◦ Images for Indoor Scene Reconstruction\n\n- ![Publication](https://img.shields.io/badge/2023-WACV-9d4edd) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content/WACV2023/papers/Chiu_360MVSNet_Deep_Multi-View_Stereo_Network_With_360deg_Images_for_Indoor_WACV_2023_paper.pdf) [![Supp](https://img.shields.io/badge/Supplementary-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content/WACV2023/supplemental/Chiu_360MVSNet_Deep_Multi-View_WACV_2023_supplemental.pdf)\n- [![Webpage](https://img.shields.io/badge/Project-Page-3cba54?style=flat\u0026logo=Google%20chrome\u0026logoColor=white)](https://jdily.github.io/proj_site/360mvsnet_proj.html)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202212151245187.png)\n\n#### nLMVS-Net: Deep Non-Lambertian Multi-View Stereo\n\n- ![Publication](https://img.shields.io/badge/2023-WACV-9d4edd) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content/WACV2023/papers/Yamashita_nLMVS-Net_Deep_Non-Lambertian_Multi-View_Stereo_WACV_2023_paper.pdf) [![Supp](https://img.shields.io/badge/Supplementary-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content/WACV2023/supplemental/Yamashita_nLMVS-Net_Deep_Non-Lambertian_WACV_2023_supplemental.zip) [![Paper](http://img.shields.io/badge/arxiv-arxiv.2207.11876-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2207.11876)\n- [![Webpage](https://img.shields.io/badge/Project-Page-3cba54?style=flat\u0026logo=Google%20chrome\u0026logoColor=white)](https://vision.ist.i.kyoto-u.ac.jp/)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202212151232484.png)\n\n#### Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation - [EPNet]\n\n- ![Publication](https://img.shields.io/badge/2023-AAAI-ffafcc) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://ojs.aaai.org/index.php/AAAI/article/view/25330)\n- ![Other](https://img.shields.io/badge/Other-white.svg?logoColor=black\u0026logo=ghostery) [![GitHub stars](https://img.shields.io/github/stars/susuwj/EPNet?logo=github\u0026label=Stars)](https://github.com/susuwj/EPNet)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202304140040373.png)\n\n#### Rethinking Disparity: A Depth Range Free Multi-View Stereo Based on Disparity - [DispMVS]\n\n- ![Publication](https://img.shields.io/badge/2023-AAAI-ffafcc)  [![Paper](http://img.shields.io/badge/arxiv-arxiv.2211.16905-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2211.16905)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/Yannnnnnnnnnnn/DispMVS_release?logo=github\u0026label=Stars)](https://github.com/Yannnnnnnnnnnn/DispMVS_release)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202212022004697.png)\n\n#### MVSFormer: Multi-View Stereo with Pre-trained Vision Transformers and Temperature-based Depth\n\n- ![Publication](https://img.shields.io/badge/2023-TMLR-3a506b)  [![Paper](http://img.shields.io/badge/arxiv-arxiv.2208.02541-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2208.02541)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/ewrfcas/MVSFormer?logo=github\u0026label=Stars)](https://github.com/ewrfcas/MVSFormer)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/mvsformer.png)\n\n### 2022\n\n#### GigaMVS: A Benchmark for Ultra-Large-Scale Gigapixel-Level 3D Reconstruction\n\n- ![Publication](https://img.shields.io/badge/2022-TPAMI-7209b7) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://ieeexplore.ieee.org/abstract/document/9547729)\n- ![Other](https://img.shields.io/badge/Other-white.svg?logoColor=black\u0026logo=ghostery) [![GitHub stars](https://img.shields.io/github/stars/THU-luvision/GigaMVS?logo=github\u0026label=Stars)](https://github.com/THU-luvision/GigaMVS)\n- [![Webpage](https://img.shields.io/badge/Project-Page-3cba54?style=flat\u0026logo=Google%20chrome\u0026logoColor=white)](https://gigavision.cn/data/news/?nav=GigaMVS%20RAWDATA)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202304051548289.png)\n\n#### Multistage Pixel-Visibility Learning With Cost Regularization for Multiview Stereo\n\n- ![Publication](https://img.shields.io/badge/2022-TASE-3a506b) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://ieeexplore.ieee.org/abstract/document/9761790)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202212211730712.png)\n\n#### Global Contextual Complementary Network for Multi-View Stereo\n\n- ![Publication](https://img.shields.io/badge/2022-BMVC-b98b73) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://bmvc2022.mpi-inf.mpg.de/0919.pdf) [![Supp](https://img.shields.io/badge/Supplementary-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://bmvc2022.mpi-inf.mpg.de/0919_poster.pdf)\n- [![Webpage](https://img.shields.io/badge/Project-Page-3cba54?style=flat\u0026logo=Google%20chrome\u0026logoColor=white)](https://bmvc2022.mpi-inf.mpg.de/919/)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202212201648874.png)\n\n#### Hybrid Cost Volume Regularization for Memory-efficient Multi-View Stereo Networks - [HR-MVSNet]\n\n- ![Publication](https://img.shields.io/badge/2022-BMVC-b98b73) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://bmvc2022.mpi-inf.mpg.de/0073.pdf) [![Supp](https://img.shields.io/badge/Supplementary-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://bmvc2022.mpi-inf.mpg.de/0073_poster.pdf)\n- [![Webpage](https://img.shields.io/badge/Project-Page-3cba54?style=flat\u0026logo=Google%20chrome\u0026logoColor=white)](https://bmvc2022.mpi-inf.mpg.de/73/)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202212201633786.png)\n\n#### Sparse Prior Guided Deep Multi-View Stereo - [SPGNet]\n\n- ![Publication](https://img.shields.io/badge/2022-CG-3a506b) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://www.sciencedirect.com/science/article/abs/pii/S0097849322001157)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202212191539389.png)\n\n#### Uncertainty-guided Multi-View Stereo Network for Depth Estimation - [UGNet]\n\n- ![Publication](https://img.shields.io/badge/2022-TCSVT-cd6688) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://ieeexplore.ieee.org/abstract/document/9797764/)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202212191516376.png)\n\n#### Adaptive Range guided Multi-View Depth Estimation with Normal Ranking Loss - [BDE-MVSNet]\n\n- ![Publication](https://img.shields.io/badge/2022-ACCV-ffee5d) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content/ACCV2022/papers/Ding_Adaptive_Range_guided_Multi-view_Depth_Estimation_with_Normal_Ranking_Loss_ACCV_2022_paper.pdf)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202212061456568.png)\n\n#### ElasticMVS: Learning Elastic Part Representation for Self-Supervised Multi-View Stereopsis\n\n- ![Publication](https://img.shields.io/badge/2022-NeurIPS-480ca8) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openreview.net/forum?id=lAN7mytwrIy) [![Supp](https://img.shields.io/badge/Supplementary-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openreview.net/attachment?id=lAN7mytwrIy\u0026name=supplementary_material)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20221113170157.png)\n\n#### WT-MVSNet: Window-based Transformers for Multi-View Stereo\n\n- ![Publication](https://img.shields.io/badge/2022-NeurIPS-480ca8) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openreview.net/forum?id=EeCdsAj80Wr) [![Supp](https://img.shields.io/badge/Supplementary-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openreview.net/attachment?id=EeCdsAj80Wr\u0026name=supplementary_material) [![Paper](http://img.shields.io/badge/arxiv-arxiv.2205.14319-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2205.14319)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/wt-mvs.png)\n\n#### Multi-View Guided Multi-View Stereo - [Guided-MVS]\n\n- ![Publication](https://img.shields.io/badge/2022-IROS-a4ac86)  [![Paper](http://img.shields.io/badge/arxiv-arxiv.2210.11467-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2210.11467)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/andreaconti/multi-view-guided-multi-view-stereo?logo=github\u0026label=Stars)](https://github.com/andreaconti/multi-view-guided-multi-view-stereo)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20221023193949.png)\n\n#### ParseMVS: Learning Primitive-aware Surface Representations for Sparse Multi-View Stereopsis\n\n- ![Publication](https://img.shields.io/badge/2022-ACMMM-5bb318) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://dl.acm.org/doi/abs/10.1145/3503161.3547920) [![Supp](https://img.shields.io/badge/Supplementary-OTHER-blue)](https://dl.acm.org/action/downloadSupplement?doi=10.1145%2F3503161.3547920\u0026file=MM22-fp0726.mp4)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20221019213654.png)\n\n#### Self-Supervised Multi-View Stereo via Adjacent Geometry Guided Volume Completion\n\n- ![Publication](https://img.shields.io/badge/2022-ACMMM-5bb318) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://dl.acm.org/doi/10.1145/3503161.3547926) [![Supp](https://img.shields.io/badge/Supplementary-OTHER-blue)](https://dl.acm.org/action/downloadSupplement?doi=10.1145%2F3503161.3547926\u0026file=MM22-fp0750.mp4)\n- ![SelfSup](https://img.shields.io/badge/Self--Surpervised-ffe169.svg?logo=fing\u0026logoColor=black)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202212040147555.png)\n\n#### Self-supervised Multi-View Stereo via Inter and Intra Network Pseudo Depth\n\n- ![Publication](https://img.shields.io/badge/2022-ACMMM-5bb318) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://dl.acm.org/doi/abs/10.1145/3503161.3548212) [![Supp](https://img.shields.io/badge/Supplementary-OTHER-blue)](https://dl.acm.org/action/downloadSupplement?doi=10.1145%2F3503161.3548212\u0026file=MM22-fp1890.mp4)\n- ![SelfSup](https://img.shields.io/badge/Self--Surpervised-ffe169.svg?logo=fing\u0026logoColor=black)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202212032011129.png)\n\n#### Deep PatchMatch MVS with Learned Patch Coplanarity, Geometric Consistency and Adaptive Pixel Sampling\n\n- ![Publication](https://img.shields.io/badge/2022-CoRR-b31b1b)  [![Paper](http://img.shields.io/badge/arxiv-arxiv.2210.07582-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2210.07582)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20221023194323.png)\n\n#### PSP-MVSNet: Deep Patch-Based Similarity Perceptual for Multi-View Stereo Depth Inference\n\n- ![Publication](https://img.shields.io/badge/2022-ICANN-3a506b) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://link.springer.com/chapter/10.1007/978-3-031-15919-0_27)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202212032047985.png)\n\n#### End-to-End Multi-View Structure-from-Motion with Hypercorrelation Volumes\n\n- ![Publication](https://img.shields.io/badge/2022-SPSIS-3a506b)  [![Paper](http://img.shields.io/badge/arxiv-arxiv.2209.06926-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2209.06926)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20221002195310.png)\n\n#### A Benchmark and a Baseline for Robust Multi-View Depth Estimation\n\n- ![Publication](https://img.shields.io/badge/2022-3DV-277da1)  [![Paper](http://img.shields.io/badge/arxiv-arxiv.2209.06681-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2209.06681)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/lmb-freiburg/robustmvd?logo=github\u0026label=Stars)](https://github.com/lmb-freiburg/robustmvd)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20220918163109.png)\n\n#### Cost Volume Pyramid Network with Multi-strategies Range Searching for Multi-View Stereo - [MSCVP-MVSNet]\n\n- ![Publication](https://img.shields.io/badge/2022-CGI-3a506b)  [![Paper](http://img.shields.io/badge/arxiv-arxiv.2207.12032-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2207.12032)\n- ![Other](https://img.shields.io/badge/Other-white.svg?logoColor=black\u0026logo=ghostery) [![GitHub stars](https://img.shields.io/github/stars/SibylGao/MSCVP-MVSNet?logo=github\u0026label=Stars)](https://github.com/SibylGao/MSCVP-MVSNet)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20220918155629.png)\n\n#### ATLAS-MVSNet: Attention Layers for Feature Extraction and Cost Volume Regularization in Multi-View Stereo\n\n- ![Publication](https://img.shields.io/badge/2022-ICPR-3a506b)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/rafael-weilharter/ATLAS-MVSNet?logo=github\u0026label=Stars)](https://github.com/rafael-weilharter/ATLAS-MVSNet)\n- [![Video](https://img.shields.io/badge/Youtube-Video-cc0000?style=flat\u0026logo=youtube\u0026logoColor=cc0000)](https://www.youtube.com/watch?v=ZLKGKlTloAI)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20220918162417.png)\n\n#### DS-MVSNet: Unsupervised Multi-View Stereo via Depth Synthesis\n\n- ![Publication](https://img.shields.io/badge/2022-ACMMM-5bb318)  [![Paper](http://img.shields.io/badge/arxiv-arxiv.2208.06674-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2208.06674)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/wdkyh/DS-MVSNet?logo=github\u0026label=Stars)](https://github.com/wdkyh/DS-MVSNet)\n- ![SelfSup](https://img.shields.io/badge/Self--Surpervised-ffe169.svg?logo=fing\u0026logoColor=black)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/ds-mvs.png)\n\n#### IS-MVSNet: Importance-sampling-based MVSNet\n\n- ![Publication](https://img.shields.io/badge/2022-ECCV-f3722c)  [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136920663.pdf)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/NoOneUST/IS-MVSNet?logo=github\u0026label=Stars)](https://github.com/NoOneUST/IS-MVSNet)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20221029223326.png)\n\n#### KD-MVS: Knowledge Distillation Based Self-supervised Learning for Multi-View Stereo\n\n- ![Publication](https://img.shields.io/badge/2022-ECCV-f3722c)  [![Paper](http://img.shields.io/badge/arxiv-arxiv.2207.10425-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2207.10425)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/megvii-research/KD-MVS?logo=github\u0026label=Stars)](https://github.com/megvii-research/KD-MVS)\n- ![SelfSup](https://img.shields.io/badge/Self--Surpervised-ffe169.svg?logo=fing\u0026logoColor=black) [![Webpage](https://img.shields.io/badge/Project-Page-3cba54?style=flat\u0026logo=Google%20chrome\u0026logoColor=white)](https://dingyikang.github.io/kdmvs.github.io)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/kd-mvs.png)\n\n#### Semi-supervised Deep Multi-View Stereo\n\n- ![Publication](https://img.shields.io/badge/2022-CoRR-b31b1b)  [![Paper](http://img.shields.io/badge/arxiv-arxiv.2207.11699-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2207.11699)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20220908014110.png)\n\n#### Miper-MVS: Multi-Scale Itearative Probability Estimation with Refinement for Efficient Multi-View Stereo\n\n- ![Publication](https://img.shields.io/badge/2022-IS-3a506b) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4176484)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/zhz120/Miper-MVS?logo=github\u0026label=Stars)](https://github.com/zhz120/Miper-MVS)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202307270047517.png)\n\n#### RC-MVSNet: Unsupervised Multi-View Stereo with Neural Rendering\n\n- ![Publication](https://img.shields.io/badge/2022-ECCV-f3722c)  [![Paper](http://img.shields.io/badge/arxiv-arxiv.2203.03949-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2203.03949)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/Boese0601/RC-MVSNet?logo=github\u0026label=Stars)](https://github.com/Boese0601/RC-MVSNet)\n- ![SelfSup](https://img.shields.io/badge/Self--Surpervised-ffe169.svg?logo=fing\u0026logoColor=black) [![Webpage](https://img.shields.io/badge/Project-Page-3cba54?style=flat\u0026logo=Google%20chrome\u0026logoColor=white)](https://boese0601.github.io/rc-mvsnet)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20220918150444.png)\n\n#### Enhancing Multi-View Stereo with Contrastive Matching and Weighted Focal Loss\n\n- ![Publication](https://img.shields.io/badge/2022-ICIP-3a506b)  [![Paper](http://img.shields.io/badge/arxiv-arxiv.2206.10360-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2206.10360)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/cml-wfl.png)\n\n#### MVSTER: Epipolar Transformer for Efficient Multi-View Stereo\n\n- ![Publication](https://img.shields.io/badge/2022-ECCV-f3722c)  [![Paper](http://img.shields.io/badge/arxiv-arxiv.2204.07346-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2204.07346)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/JeffWang987/MVSTER?logo=github\u0026label=Stars)](https://github.com/JeffWang987/MVSTER)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/mvster.png)\n\n#### Multiview Stereo with Cascaded Epipolar RAFT - [CER-MVS]\n\n- ![Publication](https://img.shields.io/badge/2022-ECCV-f3722c)  [![Paper](http://img.shields.io/badge/arxiv-arxiv.2205.04502-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2205.04502)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/princeton-vl/CER-MVS?logo=github\u0026label=Stars)](https://github.com/princeton-vl/CER-MVS)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/cermvs.png)\n\n#### Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-View Reconstruction\n\n- ![Publication](https://img.shields.io/badge/2022-CoRR-b31b1b)  [![Paper](http://img.shields.io/badge/arxiv-arxiv.2205.15848-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2205.15848)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/geo-neus.png)\n\n#### Bidirectional Hybrid LSTM Based Recurrent Neural Network for Multi-View Stereo - [BH-MVSNet]\n\n- ![Publication](https://img.shields.io/badge/2020-TVCG-ff6fb5) [![Paper](https://img.shields.io/badge/Journal-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://ieeexplore.ieee.org/abstract/document/9754239)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/bh-mvs.png)\n\n#### Exploiting Correspondences with All-pairs Correlations for Multi-View Depth Estimation\n\n- ![Publication](https://img.shields.io/badge/2022-CoRR-b31b1b)  [![Paper](http://img.shields.io/badge/arxiv-arxiv.2205.02481-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2205.02481)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/corrmvs.png)\n\n#### Multi-View Stereo with Transformer - [MVSTR]\n\n- ![Publication](https://img.shields.io/badge/2022-CoRR-b31b1b)  [![Paper](http://img.shields.io/badge/arxiv-arxiv.2112.00336-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2112.00336)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20220908010542.png)\n\n#### MVS-T: A Coarse-to-Fine Multi-View Stereo Network with Transformer for Low-Resolution Images 3D Reconstruction\n\n- ![Publication](https://img.shields.io/badge/2022-Sensors-3a506b) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://www.mdpi.com/1424-8220/22/19/7659)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202212032000161.png)\n\n#### Efficient Multi-View Stereo by Iterative Dynamic Cost Volume - [Effi-MVS]\n\n- ![Publication](https://img.shields.io/badge/2022-CVPR-43aa8b) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content/CVPR2022/papers/Wang_Efficient_Multi-View_Stereo_by_Iterative_Dynamic_Cost_Volume_CVPR_2022_paper.pdf) [![Supp](https://img.shields.io/badge/Supplementary-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content/CVPR2022/supplemental/Wang_Efficient_Multi-View_Stereo_CVPR_2022_supplemental.pdf)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/bdwsq1996/Effi-MVS?logo=github\u0026label=Stars)](https://github.com/bdwsq1996/Effi-MVS)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202212022024832.png)\n\n#### Non-parametric Depth Distribution Modelling based Depth Inference for Multi-View Stereo - [NP-CVP-MVS]\n\n- ![Publication](https://img.shields.io/badge/2022-CVPR-43aa8b)  [![Paper](http://img.shields.io/badge/arxiv-arxiv.2205.03783-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2205.03783)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/NVlabs/NP-CVP-MVSNet?logo=github\u0026label=Stars)](https://github.com/NVlabs/NP-CVP-MVSNet)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/np-cvp-mvs2.png)\n\n#### Generalized Binary Search Network for Highly-Efficient Multi-View Stereo - [GBi-Net]\n\n- ![Publication](https://img.shields.io/badge/2022-CVPR-43aa8b)  [![Paper](http://img.shields.io/badge/arxiv-arxiv.2112.02338-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2112.02338)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/MiZhenxing/GBi-Net?logo=github\u0026label=Stars)](https://github.com/MiZhenxing/GBi-Net)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20220918151130.png)\n\n#### Rethinking Depth Estimation for Multi-View Stereo: A Unified Representation and Focal Loss - [UniMVSNet]\n\n- ![Publication](https://img.shields.io/badge/2022-CVPR-43aa8b)  [![Paper](http://img.shields.io/badge/arxiv-arxiv.2201.01501-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2201.01501)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/prstrive/UniMVSNet?logo=github\u0026label=Stars)](https://github.com/prstrive/UniMVSNet)\n- [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/rethinking-depth-estimation-for-multi-view/3d-reconstruction-on-dtu)](https://paperswithcode.com/sota/3d-reconstruction-on-dtu?p=rethinking-depth-estimation-for-multi-view)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20220908011303.png)\n\n#### TransMVSNet: Global Context-aware Multi-View Stereo Network with Transformers\n\n- ![Publication](https://img.shields.io/badge/2022-CVPR-43aa8b)  [![Paper](http://img.shields.io/badge/arxiv-arxiv.2111.14600-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2111.14600)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/MegviiRobot/TransMVSNet?logo=github\u0026label=Stars)](https://github.com/MegviiRobot/TransMVSNet)\n- [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/transmvsnet-global-context-aware-multi-view/3d-reconstruction-on-dtu)](https://paperswithcode.com/sota/3d-reconstruction-on-dtu?p=transmvsnet-global-context-aware-multi-view)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/transmvs-2.png)\n\n#### IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo\n\n- ![Publication](https://img.shields.io/badge/2022-CVPR-43aa8b) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content/CVPR2022/papers/Wang_IterMVS_Iterative_Probability_Estimation_for_Efficient_Multi-View_Stereo_CVPR_2022_paper.pdf) [![Supp](https://img.shields.io/badge/Supplementary-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content/CVPR2022/supplemental/Wang_IterMVS_Iterative_Probability_CVPR_2022_supplemental.pdf) [![Paper](http://img.shields.io/badge/arxiv-arxiv.2112.05126-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2112.05126)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/FangjinhuaWang/IterMVS?logo=github\u0026label=Stars)](https://github.com/FangjinhuaWang/IterMVS)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/itermvs-2.png)\n\n#### Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry - [MaGNet]\n\n- ![Publication](https://img.shields.io/badge/2022-CVPR-43aa8b) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content/CVPR2022/papers/Bae_Multi-View_Depth_Estimation_by_Fusing_Single-View_Depth_Probability_With_Multi-View_CVPR_2022_paper.pdf) [![Supp](https://img.shields.io/badge/Supplementary-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content/CVPR2022/supplemental/Bae_Multi-View_Depth_Estimation_CVPR_2022_supplemental.pdf) [![Paper](http://img.shields.io/badge/arxiv-arxiv.2112.08177-B31B1B?logo=arXiv\u0026logoColor=green)](http://arxiv.org/abs/2112.08177)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/baegwangbin/MaGNet?logo=github\u0026label=Stars)](https://github.com/baegwangbin/MaGNet)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/magnet.png)\n\n#### Curvature-guided dynamic scale networks for Multi-View Stereo - [CDS-MVSNet]\n\n- ![Publication](https://img.shields.io/badge/2022-ICLR-a8dadc) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openreview.net/pdf?id=_Wzj0J2xs2D) [![Supp](https://img.shields.io/badge/Supplementary-OTHER-blue)](https://openreview.net/attachment?id=_Wzj0J2xs2D\u0026name=supplementary_material) [![Paper](http://img.shields.io/badge/arxiv-arxiv.2112.05999-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2112.05999)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/TruongKhang/cds-mvsnet?logo=github\u0026label=Stars)](https://github.com/TruongKhang/cds-mvsnet)\n- [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/curvature-guided-dynamic-scale-networks-for-1/3d-reconstruction-on-dtu)](https://paperswithcode.com/sota/3d-reconstruction-on-dtu?p=curvature-guided-dynamic-scale-networks-for-1) [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/curvature-guided-dynamic-scale-networks-for-1/point-clouds-on-tanks-and-temples)](https://paperswithcode.com/sota/point-clouds-on-tanks-and-temples?p=curvature-guided-dynamic-scale-networks-for-1)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20220918150121.png)\n\n#### DDL-MVS: Depth Discontinuity Learning for MVS Networks - [iMVS]\n\n- ![Publication](https://img.shields.io/badge/2022-CoRR-b31b1b)  [![Paper](http://img.shields.io/badge/arxiv-arxiv.2203.01391-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2203.01391)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/Mirmix/ddlmvs?logo=github\u0026label=Stars)](https://github.com/Mirmix/ddlmvs)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/imvs.png)\n\n#### PatchMVSNet: Patch-wise Unsupervised Multi-View Stereo for Weakly-Textured Surface Reconstruction\n\n- ![Publication](https://img.shields.io/badge/2022-CoRR-b31b1b)  [![Paper](http://img.shields.io/badge/arxiv-arxiv.2203.02156-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2203.02156)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20220318170940.png)\n\n#### PlaneMVS: 3D Plane Reconstruction from Multi-View Stereo\n\n- ![Publication](https://img.shields.io/badge/2022-CVPR-43aa8b) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content/CVPR2022/papers/Liu_PlaneMVS_3D_Plane_Reconstruction_From_Multi-View_Stereo_CVPR_2022_paper.pdf) [![Supp](https://img.shields.io/badge/Supplementary-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content/CVPR2022/supplemental/Liu_PlaneMVS_3D_Plane_CVPR_2022_supplemental.pdf) [![Paper](http://img.shields.io/badge/arxiv-arxiv.2203.12082-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2203.12082)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20220324201654.png)\n\n#### RayMVSNet: Learning Ray-based 1D Implicit Fields for Accurate Multi-View Stereo\n\n- ![Publication](https://img.shields.io/badge/2022-CVPR-43aa8b) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content/CVPR2022/papers/Xi_RayMVSNet_Learning_Ray-Based_1D_Implicit_Fields_for_Accurate_Multi-View_Stereo_CVPR_2022_paper.pdf) [![Supp](https://img.shields.io/badge/Supplementary-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content/CVPR2022/supplemental/Xi_RayMVSNet_Learning_Ray-Based_CVPR_2022_supplemental.pdf) [![Paper](http://img.shields.io/badge/arxiv-arxiv.2204.01320-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2204.01320) ![Publication](https://img.shields.io/badge/2023-TPAMI-7209b7) [![Paper](https://img.shields.io/badge/Journal-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://ieeexplore.ieee.org/abstract/document/10185080)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/Airobin329/RayMVSNet?logo=github\u0026label=Stars)](https://github.com/Airobin329/RayMVSNet)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/ray-mvs_v2.png)\n\n#### DRI-MVSNet: A Depth Residual Inference Network for Multi-View Stereo Images\n\n- ![Publication](https://img.shields.io/badge/2022-PLoS-3a506b) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8942269/pdf/pone.0264721.pdf)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202212091325048.png)\n\n#### A Semi‑Supervised Method for PatchMatch Multi‑View Stereo with Sparse Points\n\n- ![Publication](https://img.shields.io/badge/2022-Photonics-3a506b) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://www.mdpi.com/2304-6732/9/12/983)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202212201722673.png)\n\n#### DEMVSNet: Denoising and Depth Inference for Unstructured Multi‐view Stereo on Noised Images\n\n- ![Publication](https://img.shields.io/badge/2022-IETCV-3a506b) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://ietresearch.onlinelibrary.wiley.com/doi/full/10.1049/cvi2.12102)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202212211746863.png)\n\n#### Learning Inverse Depth Regression for Pixelwise Visibility-Aware Multi-View Stereo Networks - [PVSNet]\n\n- ![Publication](https://img.shields.io/badge/2022-IJCV-b1b2ff) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://link.springer.com/article/10.1007/s11263-022-01628-2) [![Paper](http://img.shields.io/badge/arxiv-arxiv.2007.07714-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2007.07714)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20220314232551.png)\n\n### 2021\n\n#### Long-range Attention Network for Multi-View Stereo\n\n- ![Publication](https://img.shields.io/badge/2021-WACV-9d4edd) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content/WACV2021/papers/Zhang_Long-Range_Attention_Network_for_Multi-View_Stereo_WACV_2021_paper.pdf)\n- [![Video](https://img.shields.io/badge/Youtube-Video-cc0000?style=flat\u0026logo=youtube\u0026logoColor=cc0000)](https://www.youtube.com/watch?v=BfwBth3HgQU)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20220908011451.png)\n\n#### PatchmatchNet: Learned Multi-View Patchmatch Stereo\n\n- ![Publication](https://img.shields.io/badge/2021-CVPR-43aa8b) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content/CVPR2021/papers/Wang_PatchmatchNet_Learned_Multi-View_Patchmatch_Stereo_CVPR_2021_paper.pdf) [![Supp](https://img.shields.io/badge/Supplementary-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content/CVPR2021/supplemental/Wang_PatchmatchNet_Learned_Multi-View_CVPR_2021_supplemental.pdf) [![Paper](http://img.shields.io/badge/arxiv-arxiv.2012.01411-B31B1B?logo=arXiv\u0026logoColor=green)](http://arxiv.org/abs/2012.01411)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/FangjinhuaWang/PatchmatchNet?logo=github\u0026label=Stars)](https://github.com/FangjinhuaWang/PatchmatchNet)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20220314202133.png)\n\n#### DeepVideoMVS: Multi-View Stereo on Video With Recurrent Spatio-Temporal Fusion\n\n- ![Publication](https://img.shields.io/badge/2021-CVPR-43aa8b) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content/CVPR2021/papers/Duzceker_DeepVideoMVS_Multi-View_Stereo_on_Video_With_Recurrent_Spatio-Temporal_Fusion_CVPR_2021_paper.pdf) [![Supp](https://img.shields.io/badge/Supplementary-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content/CVPR2021/supplemental/Duzceker_DeepVideoMVS_Multi-View_Stereo_CVPR_2021_supplemental.pdf) [![Paper](http://img.shields.io/badge/arxiv-arxiv.2012.02177-B31B1B?logo=arXiv\u0026logoColor=green)](http://arxiv.org/abs/2012.02177)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/ardaduz/deep-video-mvs?logo=github\u0026label=Stars)](https://github.com/ardaduz/deep-video-mvs)\n- [![Video](https://img.shields.io/badge/Youtube-Video-cc0000?style=flat\u0026logo=youtube\u0026logoColor=cc0000)](https://www.youtube.com/watch?v=ikpotjxwcp4)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20220918150314.png)\n\n#### Self-Supervised Learning of Depth Inference for Multi-View Stereo\n\n- ![Publication](https://img.shields.io/badge/2021-CVPR-43aa8b) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content/CVPR2021/papers/Yang_Self-Supervised_Learning_of_Depth_Inference_for_Multi-View_Stereo_CVPR_2021_paper.pdf) [![Supp](https://img.shields.io/badge/Supplementary-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content/CVPR2021/supplemental/Yang_Self-Supervised_Learning_of_CVPR_2021_supplemental.pdf) [![Paper](http://img.shields.io/badge/arxiv-arxiv.2104.02972-B31B1B?logo=arXiv\u0026logoColor=green)](http://arxiv.org/abs/2104.02972)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/JiayuYANG/Self-supervised-CVP-MVSNet?logo=github\u0026label=Stars)](https://github.com/JiayuYANG/Self-supervised-CVP-MVSNet)\n- ![SelfSup](https://img.shields.io/badge/Self--Surpervised-ffe169.svg?logo=fing\u0026logoColor=black)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20220908011641.png)\n\n#### Mˆ3VSNet: Unsupervised Multi-Metric Multi-View Stereo Network\n\n- ![Publication](https://img.shields.io/badge/2021-ICIP-3a506b)  [![Paper](http://img.shields.io/badge/arxiv-arxiv.2005.00363-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2005.00363)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/whubaichuan/M3VSNet?logo=github\u0026label=Stars)](https://github.com/whubaichuan/M3VSNet)\n- ![SelfSup](https://img.shields.io/badge/Self--Surpervised-ffe169.svg?logo=fing\u0026logoColor=black)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20220314235727.png)\n\n#### AA-RMVSNet: Adaptive Aggregation Recurrent Multi-View Stereo Network\n\n- ![Publication](https://img.shields.io/badge/2021-ICCV-f9c74f) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content/ICCV2021/papers/Wei_AA-RMVSNet_Adaptive_Aggregation_Recurrent_Multi-View_Stereo_Network_ICCV_2021_paper.pdf) [![Supp](https://img.shields.io/badge/Supplementary-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content/ICCV2021/supplemental/Wei_AA-RMVSNet_Adaptive_Aggregation_ICCV_2021_supplemental.pdf) [![Paper](http://img.shields.io/badge/arxiv-arxiv.2108.03824-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2108.03824)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/QT-Zhu/AA-RMVSNet?logo=github\u0026label=Stars)](https://github.com/QT-Zhu/AA-RMVSNet)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20220314203957.png)\n\n#### Digging into Uncertainty in Self-supervised Multi-View Stereo\n\n- ![Publication](https://img.shields.io/badge/2021-ICCV-f9c74f) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content/ICCV2021/papers/Xu_Digging_Into_Uncertainty_in_Self-Supervised_Multi-View_Stereo_ICCV_2021_paper.pdf) [![Supp](https://img.shields.io/badge/Supplementary-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content/ICCV2021/supplemental/Xu_Digging_Into_Uncertainty_ICCV_2021_supplemental.pdf) [![Paper](http://img.shields.io/badge/arxiv-arxiv.2108.12966-B31B1B?logo=arXiv\u0026logoColor=green)](http://arxiv.org/abs/2108.12966)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/ToughStoneX/U-MVS?logo=github\u0026label=Stars)](https://github.com/ToughStoneX/U-MVS)\n- ![SelfSup](https://img.shields.io/badge/Self--Surpervised-ffe169.svg?logo=fing\u0026logoColor=black)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20220314210011.png)\n\n#### Self-Supervised Multi-View Stereo via Effective Co-segmentation and Data-Augmentation\n\n- ![Publication](https://img.shields.io/badge/2021-AAAI-ffafcc) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://www.aaai.org/AAAI21Papers/AAAI-2549.XuH.pdf) [![Paper](http://img.shields.io/badge/arxiv-arxiv.2104.05374-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2104.05374)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/ToughStoneX/Self-Supervised-MVS?logo=github\u0026label=Stars)](https://github.com/ToughStoneX/Self-Supervised-MVS)\n- ![SelfSup](https://img.shields.io/badge/Self--Surpervised-ffe169.svg?logo=fing\u0026logoColor=black)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20220314235205.png)\n\n#### MVS2D: Efficient Multi-View Stereo via Attention-Driven 2D Convolutions\n\n- ![Publication](https://img.shields.io/badge/2021-CoRR-b31b1b)  [![Paper](http://img.shields.io/badge/arxiv-arxiv.2104.13325-B31B1B?logo=arXiv\u0026logoColor=green)](http://arxiv.org/abs/2104.13325)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/zhenpeiyang/MVS2D?logo=github\u0026label=Stars)](https://github.com/zhenpeiyang/MVS2D)\n- [![Webpage](https://img.shields.io/badge/Project-Page-3cba54?style=flat\u0026logo=Google%20chrome\u0026logoColor=white)](https://zhenpeiyang.github.io/MVS2D/)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20220918151444.png)\n\n#### IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions\n\n- ![Publication](https://img.shields.io/badge/2021-BMVC-b98b73) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://www.bmvc2021-virtualconference.com/assets/papers/0902.pdf) [![Supp](https://img.shields.io/badge/Supplementary-ZIP-b5e48c)](https://www.bmvc2021-virtualconference.com/assets/supp/0902_supp.zip) [![Paper](http://img.shields.io/badge/arxiv-arxiv.2111.14420-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2111.14420)\n- [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/ib-mvs-an-iterative-algorithm-for-deep-multi/3d-reconstruction-on-dtu)](https://paperswithcode.com/sota/3d-reconstruction-on-dtu?p=ib-mvs-an-iterative-algorithm-for-deep-multi) [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/ib-mvs-an-iterative-algorithm-for-deep-multi/point-clouds-on-tanks-and-temples)](https://paperswithcode.com/sota/point-clouds-on-tanks-and-temples?p=ib-mvs-an-iterative-algorithm-for-deep-multi)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20220318011453.png)\n\n#### EPP-MVSNet: Epipolar-Assembling Based Depth Prediction for Multi-View Stereo\n\n- ![Publication](https://img.shields.io/badge/2021-ICCV-f9c74f) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content/ICCV2021/papers/Ma_EPP-MVSNet_Epipolar-Assembling_Based_Depth_Prediction_for_Multi-View_Stereo_ICCV_2021_paper.pdf)\n- ![Huawei](https://img.shields.io/badge/MindSpore-d3d3d3?logo=huawei\u0026logoColor=red) [![GitHub stars](https://img.shields.io/github/stars/mindspore-ai/models?logo=github\u0026label=Stars)](https://github.com/mindspore-ai/models)\n- [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/epp-mvsnet-epipolar-assembling-based-depth/3d-reconstruction-on-dtu)](https://paperswithcode.com/sota/3d-reconstruction-on-dtu?p=epp-mvsnet-epipolar-assembling-based-depth) [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/epp-mvsnet-epipolar-assembling-based-depth/point-clouds-on-tanks-and-temples)](https://paperswithcode.com/sota/point-clouds-on-tanks-and-temples?p=epp-mvsnet-epipolar-assembling-based-depth)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20220314210559.png)\n\n#### NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-View Stereo\n\n- ![Publication](https://img.shields.io/badge/2021-ICCV-f9c74f) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content/ICCV2021/papers/Wei_NerfingMVS_Guided_Optimization_of_Neural_Radiance_Fields_for_Indoor_Multi-View_ICCV_2021_paper.pdf) [![Supp](https://img.shields.io/badge/Supplementary-ZIP-b5e48c)](https://openaccess.thecvf.com/content/ICCV2021/supplemental/Wei_NerfingMVS_Guided_Optimization_ICCV_2021_supplemental.zip) [![Paper](http://img.shields.io/badge/arxiv-arxiv.2109.01129-B31B1B?logo=arXiv\u0026logoColor=green)](http://arxiv.org/abs/2109.01129)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/weiyithu/NerfingMVS?logo=github\u0026label=Stars)](https://github.com/weiyithu/NerfingMVS)\n- [![Video](https://img.shields.io/badge/Youtube-Video-cc0000?style=flat\u0026logo=youtube\u0026logoColor=cc0000)](https://youtu.be/i-b5lPnYipA) [![Webpage](https://img.shields.io/badge/Project-Page-3cba54?style=flat\u0026logo=Google%20chrome\u0026logoColor=white)](https://weiyithu.github.io/NerfingMVS)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20220918151236.png)\n\n#### Just a Few Points Are All You Need for Multi-View Stereo: A Novel Semi-Supervised Learning Method for Multi-View Stereo - [SGT-MVSNet]\n\n- ![Publication](https://img.shields.io/badge/2021-ICCV-f9c74f) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content/ICCV2021/papers/Kim_Just_a_Few_Points_Are_All_You_Need_for_Multi-View_ICCV_2021_paper.pdf) [![Supp](https://img.shields.io/badge/Supplementary-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content/ICCV2021/supplemental/Kim_Just_a_Few_ICCV_2021_supplemental.pdf)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20220314215026.png)\n\n#### Learning Signed Distance Field for Multi-View Surface Reconstruction - [MVSDF]\n\n- ![Publication](https://img.shields.io/badge/2021-ICCV-f9c74f) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content/ICCV2021/papers/Zhang_Learning_Signed_Distance_Field_for_Multi-View_Surface_Reconstruction_ICCV_2021_paper.pdf) [![Supp](https://img.shields.io/badge/Supplementary-ZIP-b5e48c)](https://openaccess.thecvf.com/content/ICCV2021/supplemental/Zhang_Learning_Signed_Distance_ICCV_2021_supplemental.zip) [![Paper](http://img.shields.io/badge/arxiv-arxiv.2108.09964-B31B1B?logo=arXiv\u0026logoColor=green)](http://arxiv.org/abs/2108.09964)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/jzhangbs/MVSDF?logo=github\u0026label=Stars)](https://github.com/jzhangbs/MVSDF)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20220314215324.png)\n\n#### PatchMatch-RL: Deep MVS With Pixelwise Depth, Normal, and Visibility\n\n- ![Publication](https://img.shields.io/badge/2021-ICCV-f9c74f) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content/ICCV2021/papers/Lee_PatchMatch-RL_Deep_MVS_With_Pixelwise_Depth_Normal_and_Visibility_ICCV_2021_paper.pdf) [![Supp](https://img.shields.io/badge/Supplementary-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content/ICCV2021/supplemental/Lee_PatchMatch-RL_Deep_MVS_ICCV_2021_supplemental.pdf) [![Paper](http://img.shields.io/badge/arxiv-arxiv.2108.08943-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2108.08943)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/leejaeyong7/patchmatch-rl?logo=github\u0026label=Stars)](https://github.com/leejaeyong7/patchmatch-rl)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20220314221024.png)\n\n#### Deep Multi-View Stereo Gone Wild\n\n- ![Publication](https://img.shields.io/badge/2021-3DV-277da1) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://conferences.computer.org/3dvpub/pdfs/3DV2021-5lXBZyiG3QAsRBKXHIjqU8/268800a484/268800a484.pdf) [![Paper](http://img.shields.io/badge/arxiv-arxiv.2104.15119-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2104.15119)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/fdarmon/wild_deep_mvs?logo=github\u0026label=Stars)](https://github.com/fdarmon/wild_deep_mvs)\n- [![Webpage](https://img.shields.io/badge/Project-Page-3cba54?style=flat\u0026logo=Google%20chrome\u0026logoColor=white)](https://imagine.enpc.fr/~darmonf/wild_deep_mvs/)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/3%E6%88%AA%E5%B1%8F2022-03-14%2016.51.16.png)\n\n#### HighRes-MVSNet: A Fast Multi-View Stereo Network for Dense 3D Reconstruction From High-Resolution Images\n\n- ![Publication](https://img.shields.io/badge/2021-IEEE--Access-3a506b) [![Paper](https://img.shields.io/badge/Journal-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://ieeexplore.ieee.org/document/9319163)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20220918151327.png)\n\n#### AACVP-MVSNet: Attention-Aware Cost Volume Pyramid Based Multi-View Stereo Network for 3D Reconstruction\n\n- ![Publication](https://img.shields.io/badge/2021-ISPRS-3a506b) [![Paper](https://img.shields.io/badge/Journal-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://www.sciencedirect.com/science/article/pii/S0924271621000794) [![Paper](http://img.shields.io/badge/arxiv-arxiv.2011.12722-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2011.12722)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/ArthasMil/AACVP-MVSNet?logo=github\u0026label=Stars)](https://github.com/ArthasMil/AACVP-MVSNet)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20220314223313.png)\n\n#### Non-local Recurrent Regularization Networks for Multi-View Stereo\n\n- ![Publication](https://img.shields.io/badge/2021-CoRR-b31b1b)  [![Paper](http://img.shields.io/badge/arxiv-arxiv.2110.06436-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2110.06436)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20220314225050.png)\n\n#### DDR-Net: Learning Multi-Stage Multi-View Stereo With Dynamic Depth Range\n\n- ![Publication](https://img.shields.io/badge/2021-CoRR-b31b1b)  [![Paper](http://img.shields.io/badge/arxiv-arxiv.2103.14275-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2103.14275)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/Tangshengku/DDR-Net?logo=github\u0026label=Stars)](https://github.com/Tangshengku/DDR-Net)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20220918151543.png)\n\n#### Tandem: Tracking and Dense Mapping in Real-Time Using Deep Multi-View Stereo - [CVA-MVSNet]\n\n- ![Publication](https://img.shields.io/badge/2021-CoRL-717D40) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openreview.net/pdf?id=FzMHiDesj0I) [![Supp](https://img.shields.io/badge/Supplementary-OTHER-blue)](https://openreview.net/attachment?id=FzMHiDesj0I\u0026name=supplementary_material) [![Paper](http://img.shields.io/badge/arxiv-arxiv.2111.07418-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2111.07418)\n- ![CPP](https://img.shields.io/badge/C%2B%2B-9C033A?\u0026logo=c%2B%2B\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/tum-vision/tandem?logo=github\u0026label=Stars)](https://github.com/tum-vision/tandem)\n- [![Video](https://img.shields.io/badge/Youtube-Video-cc0000?style=flat\u0026logo=youtube\u0026logoColor=cc0000)](https://youtu.be/L4C8Q6Gvl1w) [![Webpage](https://img.shields.io/badge/Project-Page-3cba54?style=flat\u0026logo=Google%20chrome\u0026logoColor=white)](https://vision.in.tum.de/research/vslam/tandem)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20220318175420.png)\n\n### 2020\n\n#### BlendedMVS: A Large-Scale Dataset for Generalized Multi-View Stereo Networks\n\n- ![Publication](https://img.shields.io/badge/2020-CVPR-43aa8b) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content_CVPR_2020/papers/Yao_BlendedMVS_A_Large-Scale_Dataset_for_Generalized_Multi-View_Stereo_Networks_CVPR_2020_paper.pdf) [![Supp](https://img.shields.io/badge/Supplementary-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content_CVPR_2020/supplemental/Yao_BlendedMVS_A_Large-Scale_CVPR_2020_supplemental.pdf) [![Paper](http://img.shields.io/badge/arxiv-arxiv.1911.10127-B31B1B?logo=arXiv\u0026logoColor=green)](http://arxiv.org/abs/1911.10127)\n- ![Other](https://img.shields.io/badge/Other-white.svg?logoColor=black\u0026logo=ghostery) [![GitHub stars](https://img.shields.io/github/stars/YoYo000/BlendedMVS?logo=github\u0026label=Stars)](https://github.com/YoYo000/BlendedMVS)\n- [![Video](https://img.shields.io/badge/Youtube-Video-cc0000?style=flat\u0026logo=youtube\u0026logoColor=cc0000)](https://youtu.be/3mMuSwpjd8A)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20221002200121.png)\n\n#### MVSNet++: Learning Depth-Based Attention Pyramid Features for Multi-View Stereo\n\n- ![Publication](https://img.shields.io/badge/2020-TIP-9a8c98) [![Paper](https://img.shields.io/badge/Journal-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://ieeexplore.ieee.org/document/9115828)\n- [![Video](https://img.shields.io/badge/Youtube-Video-cc0000?style=flat\u0026logo=youtube\u0026logoColor=cc0000)](https://www.youtube.com/watch?v=VRTEWxt1P68)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20220314221417.png)\n\n#### Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching\n\n- ![Publication](https://img.shields.io/badge/2020-CVPR-43aa8b) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content_CVPR_2020/papers/Gu_Cascade_Cost_Volume_for_High-Resolution_Multi-View_Stereo_and_Stereo_Matching_CVPR_2020_paper.pdf) [![Paper](http://img.shields.io/badge/arxiv-arxiv.1912.06378-B31B1B?logo=arXiv\u0026logoColor=green)](http://arxiv.org/abs/1912.06378)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/alibaba/cascade-stereo?logo=github\u0026label=Stars)](https://github.com/alibaba/cascade-stereo)\n- [![Video](https://img.shields.io/badge/Youtube-Video-cc0000?style=flat\u0026logo=youtube\u0026logoColor=cc0000)](https://www.youtube.com/watch?v=rcJiRQqDKbo)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20220306002513.png)\n\n#### BP-MVSNet: Belief-Propagation-Layers for Multi-View-Stereo\n\n- ![Publication](https://img.shields.io/badge/2020-3DV-277da1) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://www.computer.org/csdl/proceedings-article/3dv/2020/812800a394/1qyxkbFekXC) [![Paper](http://img.shields.io/badge/arxiv-arxiv.2010.12436-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2010.12436)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20220325235522.png)\n\n#### Deep Stereo using Adaptive Thin Volume Representation with Uncertainty Awareness - [UCSNet]\n\n- ![Publication](https://img.shields.io/badge/2020-CVPR-43aa8b) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content_CVPR_2020/papers/Cheng_Deep_Stereo_Using_Adaptive_Thin_Volume_Representation_With_Uncertainty_Awareness_CVPR_2020_paper.pdf) [![Supp](https://img.shields.io/badge/Supplementary-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content_CVPR_2020/supplemental/Cheng_Deep_Stereo_Using_CVPR_2020_supplemental.pdf) [![Paper](http://img.shields.io/badge/arxiv-arxiv.1911.12012-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/1911.12012)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/touristCheng/UCSNet?logo=github\u0026label=Stars)](https://github.com/touristCheng/UCSNet)\n- [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/deep-stereo-using-adaptive-thin-volume/3d-reconstruction-on-dtu)](https://paperswithcode.com/sota/3d-reconstruction-on-dtu?p=deep-stereo-using-adaptive-thin-volume) [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/deep-stereo-using-adaptive-thin-volume/point-clouds-on-tanks-and-temples)](https://paperswithcode.com/sota/point-clouds-on-tanks-and-temples?p=deep-stereo-using-adaptive-thin-volume)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20220314150037.png)\n\n#### Fast-MVSNet: Sparse-to-Dense Multi-View Stereo with Learned Propagation and Gauss-Newton Refinement\n\n- ![Publication](https://img.shields.io/badge/2020-CVPR-43aa8b) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content_CVPR_2020/papers/Yu_Fast-MVSNet_Sparse-to-Dense_Multi-View_Stereo_With_Learned_Propagation_and_Gauss-Newton_Refinement_CVPR_2020_paper.pdf) [![Supp](https://img.shields.io/badge/Supplementary-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content_CVPR_2020/supplemental/Yu_Fast-MVSNet_Sparse-to-Dense_Multi-View_CVPR_2020_supplemental.pdf) [![Paper](http://img.shields.io/badge/arxiv-arxiv.2003.13017-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2003.13017)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/svip-lab/FastMVSNet?logo=github\u0026label=Stars)](https://github.com/svip-lab/FastMVSNet)\n- [![Video](https://img.shields.io/badge/Youtube-Video-cc0000?style=flat\u0026logo=youtube\u0026logoColor=cc0000)](https://www.youtube.com/watch?v=34c3Vf9g7kM)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20220314151052.png)\n\n#### Learning Inverse Depth Regression for Multi-View Stereo with Correlation Cost Volume - [CIDER]\n\n- ![Publication](https://img.shields.io/badge/2020-AAAI-ffafcc) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://ojs.aaai.org//index.php/AAAI/article/view/6939/6793) [![Paper](http://img.shields.io/badge/arxiv-arxiv.1912.11746-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/1912.11746)\n- ![Other](https://img.shields.io/badge/Other-white.svg?logoColor=black\u0026logo=ghostery) [![GitHub stars](https://img.shields.io/github/stars/GhiXu/CIDER?logo=github\u0026label=Stars)](https://github.com/GhiXu/CIDER)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/%E6%88%AA%E5%B1%8F2022-03-14%2015.16.20.png)\n\n#### Attention-Aware Multi-View Stereo - [AttMVSNet]\n\n- ![Publication](https://img.shields.io/badge/2020-CVPR-43aa8b) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content_CVPR_2020/papers/Luo_Attention-Aware_Multi-View_Stereo_CVPR_2020_paper.pdf)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20220314152022.png)\n\n#### A Novel Recurrent Encoder-Decoder Structure for Large-Scale Multi-View Stereo Reconstruction from an Open Aerial Dataset\n\n- ![Publication](https://img.shields.io/badge/2020-CVPR-43aa8b) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content_CVPR_2020/papers/Liu_A_Novel_Recurrent_Encoder-Decoder_Structure_for_Large-Scale_Multi-View_Stereo_Reconstruction_CVPR_2020_paper.pdf) [![Paper](http://img.shields.io/badge/arxiv-arxiv.2003.00637-B31B1B?logo=arXiv\u0026logoColor=green)](http://arxiv.org/abs/2003.00637)\n- ![Tensorflow](https://img.shields.io/badge/TensorFlow-ff6f00?logo=tensorflow\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/gpcv-liujin/REDNet?logo=github\u0026label=Stars)](https://github.com/gpcv-liujin/REDNet)\n- [![Video](https://img.shields.io/badge/Youtube-Video-cc0000?style=flat\u0026logo=youtube\u0026logoColor=cc0000)](https://www.youtube.com/watch?v=gZds3nKoPR8)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20220918151756.png)\n\n#### Cost Volume Pyramid Based Depth Inference for Multi-View Stereo - [CVP-MVSNet]\n\n- ![Publication](https://img.shields.io/badge/2020-CVPR-43aa8b) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content_CVPR_2020/papers/Yang_Cost_Volume_Pyramid_Based_Depth_Inference_for_Multi-View_Stereo_CVPR_2020_paper.pdf) [![Supp](https://img.shields.io/badge/Supplementary-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content_CVPR_2020/supplemental/Yang_Cost_Volume_Pyramid_CVPR_2020_supplemental.pdf) [![Paper](http://img.shields.io/badge/arxiv-arxiv.1912.08329-B31B1B?logo=arXiv\u0026logoColor=green)](http://arxiv.org/abs/1912.08329)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/JiayuYANG/CVP-MVSNet?logo=github\u0026label=Stars)](https://github.com/JiayuYANG/CVP-MVSNet)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20220314203554.png)\n\n#### Pyramid Multi-View Stereo Net with Self-Adaptive View Aggregation - [PVAMVSNet]\n\n- ![Publication](https://img.shields.io/badge/2020-ECCV-f3722c) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123540732.pdf) [![Supp](https://img.shields.io/badge/Supplementary-ZIP-b5e48c)](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123540732-supp.zip) [![Paper](http://img.shields.io/badge/arxiv-arxiv.1912.03001-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/1912.03001)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/yhw-yhw/PVAMVSNet?logo=github\u0026label=Stars)](https://github.com/yhw-yhw/PVAMVSNet)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20220314152622.png)\n\n#### Dense Hybrid Recurrent Multi-View Stereo Net with Dynamic Consistency Checking\n\n- ![Publication](https://img.shields.io/badge/2020-ECCV-f3722c) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123490647.pdf) [![Supp](https://img.shields.io/badge/Supplementary-ZIP-b5e48c)](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123490647-supp.zip) [![Paper](http://img.shields.io/badge/arxiv-arxiv.2007.10872-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2007.10872)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/yhw-yhw/D2HC-RMVSNet?logo=github\u0026label=Stars)](https://github.com/yhw-yhw/D2HC-RMVSNet)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20220314180115.png)\n\n#### Learning to Adapt Multi-View Stereo by Self-Supervision\n\n- ![Publication](https://img.shields.io/badge/2020-BMVC-b98b73) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://www.bmvc2020-conference.com/assets/papers/0375.pdf) [![Supp](https://img.shields.io/badge/Supplementary-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://www.bmvc2020-conference.com/assets/supp/0375_supp.pdf)\n- ![SelfSup](https://img.shields.io/badge/Self--Surpervised-ffe169.svg?logo=fing\u0026logoColor=black)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202212211637068.png)\n\n#### Visibility-Aware Multi-View Stereo Network - [Vis-MVSNet]\n\n- ![Publication](https://img.shields.io/badge/2020-BMVC-b98b73) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://www.bmvc2020-conference.com/assets/papers/0421.pdf) [![Supp](https://img.shields.io/badge/Supplementary-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://www.bmvc2020-conference.com/assets/supp/0421_supp.pdf) [![Paper](http://img.shields.io/badge/arxiv-arxiv.2008.0792-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/2008.0792)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/jzhangbs/Vis-MVSNet?logo=github\u0026label=Stars)](https://github.com/jzhangbs/Vis-MVSNet)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20220918152008.png)\n\n#### A Novel Recurrent Encoder-Decoder Structure for Large-Scale Multi-View Stereo Reconstruction from an Open Aerial Dataset - [REDNet]\n\n- ![Publication](https://img.shields.io/badge/2020-CVPR-43aa8b) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content_CVPR_2020/papers/Liu_A_Novel_Recurrent_Encoder-Decoder_Structure_for_Large-Scale_Multi-View_Stereo_Reconstruction_CVPR_2020_paper.pdf) [![Paper](http://img.shields.io/badge/arxiv-arxiv.2003.00637-B31B1B?logo=arXiv\u0026logoColor=green)](http://arxiv.org/abs/2003.00637)\n- ![Tensorflow](https://img.shields.io/badge/TensorFlow-ff6f00?logo=tensorflow\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/gpcv-liujin/REDNet?logo=github\u0026label=Stars)](https://github.com/gpcv-liujin/REDNet)\n- [![Video](https://img.shields.io/badge/Youtube-Video-cc0000?style=flat\u0026logo=youtube\u0026logoColor=cc0000)](https://www.youtube.com/watch?v=gZds3nKoPR8)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/rednet.png)\n\n#### NRMVS: Non-Rigid Multi-View Stereo\n\n- ![Publication](https://img.shields.io/badge/2020-WACV-9d4edd) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content_WACV_2020/papers/Innmann_NRMVS_Non-Rigid_Multi-view_Stereo_WACV_2020_paper.pdf) [![Supp](https://img.shields.io/badge/Supplementary-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content_WACV_2020/supplemental/Innmann_NRMVS_Non-Rigid_Multi-view_WACV_2020_supplemental.pdf)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/202212091727336.png)\n\n### 2019\n\n#### Multi-View Stereo by Temporal Nonparametric Fusion\n\n- ![Publication](https://img.shields.io/badge/2019-ICCV-f9c74f) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content_ICCV_2019/papers/Hou_Multi-View_Stereo_by_Temporal_Nonparametric_Fusion_ICCV_2019_paper.pdf) [![Supp](https://img.shields.io/badge/Supplementary-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openaccess.thecvf.com/content_ICCV_2019/supplemental/Hou_Multi-View_Stereo_by_ICCV_2019_supplemental.pdf) [![Paper](http://img.shields.io/badge/arxiv-arxiv.1904.06397-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/1904.06397)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/AaltoML/GP-MVS?logo=github\u0026label=Stars)](https://github.com/AaltoML/GP-MVS)\n- [![Video](https://img.shields.io/badge/Youtube-Video-cc0000?style=flat\u0026logo=youtube\u0026logoColor=cc0000)](https://www.youtube.com/watch?v=iellGrlNW7k) [![Webpage](https://img.shields.io/badge/Project-Page-3cba54?style=flat\u0026logo=Google%20chrome\u0026logoColor=white)](https://aaltoml.github.io/GP-MVS/)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/20220918154829.png)\n\n#### DPSNet: End-to-end Deep Plane Sweep Stereo\n\n- ![Publication](https://img.shields.io/badge/2019-ICLR-a8dadc) [![Paper](https://img.shields.io/badge/Camera--Ready-PDF-f5cac3?logo=adobeacrobatreader\u0026logoColor=red)](https://openreview.net/pdf?id=ryeYHi0ctQ) [![Paper](http://img.shields.io/badge/arxiv-arxiv.1905.00538-B31B1B?logo=arXiv\u0026logoColor=green)](https://arxiv.org/abs/1905.00538)\n- ![Pytorch](https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch\u0026logoColor=white) [![GitHub stars](https://img.shields.io/github/stars/sunghoonim/DPSNet?logo=github\u0026label=Stars)](https://github.com/sunghoonim/DPSNet)\n- ![Image](https://raw.githubusercontent.com/asvaling/image-hosting/main/img/dpsnet.png)\n\n#### Recurrent Mvsnet for High-Resolution Multi-View Stereo Depth Inference - [RMVSNet]\n\n- ![Publication](https://img.shiel","projects_url":"https://awesome.ecosyste.ms/api/v1/lists/walsvid%2Fawesome-mvs/projects"}