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https://github.com/walsvid/Awesome-MVS
Awesome list of multi-view stereo papers
https://github.com/walsvid/Awesome-MVS
List: Awesome-MVS
awesome multi-view-stereo mvs mvsnet sfm structure-from-motion
Last synced: 3 months ago
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Awesome list of multi-view stereo papers
- Host: GitHub
- URL: https://github.com/walsvid/Awesome-MVS
- Owner: walsvid
- Created: 2022-03-05T09:30:35.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-04-13T14:00:01.000Z (7 months ago)
- Last Synced: 2024-05-23T07:08:36.564Z (5 months ago)
- Topics: awesome, multi-view-stereo, mvs, mvsnet, sfm, structure-from-motion
- Homepage:
- Size: 63.5 KB
- Stars: 598
- Watchers: 30
- Forks: 42
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- Awesome-Learning-MVS - Awesome-MVS1
- ultimate-awesome - Awesome-MVS - Awesome list of multi-view stereo papers. (Other Lists / PowerShell Lists)
README
# Awesome-MVS
[](https://github.com/sindresorhus/awesome)
> Contributions welcomed!
>
> Learning-based [2024](#2024) | [2023](#2023) | [2022](#2022) | [2021](#2021) | [2020](#2020) | [2019](#2019) | [2018](#2018) | [2017](#2017)
>
> Traditional [2024](#2024-1) | [2023](#2023-1) | [2022](#2022-1) | [2021](#2021-1) | [2020](#2020-1) | [2019](#2019-1) | [2018](#2018-1) | [Early](#early)
## Learning-based MVS Methods
### 2024
#### GoMVS: Geometrically Consistent Cost Aggregation for Multi-View Stereo
-  [](https://arxiv.org/abs/2404.07992)
-  [](https://github.com/Wuuu3511/GoMVS)
- [](https://wuuu3511.github.io/gomvs/)
- 
#### CT-MVSNet: Efficient Multi-View Stereo with Cross-scale Transformer
-  [](https://link.springer.com/chapter/10.1007/978-3-031-53308-2_29) [](https://arxiv.org/abs/2312.08594)
-  [](https://github.com/wscstrive/CT-MVSNet)
- 
#### Feature Distribution Normalization Network for Multi-View Stereo - [FDN-MVS]
-  [](https://link.springer.com/article/10.1007/s00371-024-03334-1)
-  [](https://github.com/ZYangChen/FDN-MVS)
- 
#### MVSFormer++: Revealing the Devil in Transformer's Details for Multi-View Stereo
-  [](https://openreview.net/forum?id=wXWfvSpYHh) [](https://arxiv.org/abs/2401.11673)
-  [](https://github.com/maybeLx/MVSFormerPlusPlus)
- 
#### RobustMVS: Single Domain Generalized Deep Multi-view Stereo
-  [](https://ieeexplore.ieee.org/abstract/document/10528330)
-  [](https://github.com/ToughStoneX/Robust-MVS)
- 
#### CT-MVSNet: Curvature-Guided Multi-View Stereo with Transformers
-  [](https://link.springer.com/article/10.1007/s11042-024-19227-3)
-  [](https://github.com/Sun-Licheng/CT-MVSNet)
- 
#### Learning Deformable Hypothesis Sampling for Accurate PatchMatch - [DS-PMNet]
-  [](https://arxiv.org/abs/2312.15970)
-  [](https://github.com/Geo-Tell/DS-PMNet)
- 
#### HAMMER: Learning Entropy Maps to Create Accurate 3D Models in Multi-View Stereo
-  [](https://openaccess.thecvf.com/content/WACV2024/papers/Weilharter_HAMMER_Learning_Entropy_Maps_To_Create_Accurate_3D_Models_in_WACV_2024_paper.pdf) [](https://openaccess.thecvf.com/content/WACV2024/supplemental/Weilharter_HAMMER_Learning_Entropy_WACV_2024_supplemental.pdf)
- 
#### GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View Stereo
-  [](https://openaccess.thecvf.com/content/WACV2024/papers/Vats_GC-MVSNet_Multi-View_Multi-Scale_Geometrically-Consistent_Multi-View_Stereo_WACV_2024_paper.pdf) [](https://openaccess.thecvf.com/content/WACV2024/supplemental/Vats_GC-MVSNet_Multi-View_Multi-Scale_WACV_2024_supplemental.pdf) [](https://arxiv.org/abs/2310.19583)
-  [](https://github.com/vkvats/GC-MVSNet)
- 
### 2023
#### Semi-supervised Deep Multi-view Stereo - [SDA-MVS]
-  [](https://dl.acm.org/doi/10.1145/3581783.3611931)
- 
#### S-OmniMVS: Incorporating Sphere Geometry into Omnidirectional Stereo Matching
-  [](https://dl.acm.org/doi/10.1145/3581783.3612381)
- 
#### When Epipolar Constraint Meets Non-Local Operators in Multi-View Stereo - [ET-MVSNet]
-  [](https://openaccess.thecvf.com/content/ICCV2023/papers/Liu_When_Epipolar_Constraint_Meets_Non-Local_Operators_in_Multi-View_Stereo_ICCV_2023_paper.pdf) [](https://openaccess.thecvf.com/content/ICCV2023/supplemental/Liu_When_Epipolar_Constraint_ICCV_2023_supplemental.pdf)
-  [](https://github.com/TQTQliu/ET-MVSNet)
- 
#### CL-MVSNet: Unsupervised Multi-View Stereo with Dual-Level Contrastive Learning
-  [](https://openaccess.thecvf.com/content/ICCV2023/papers/Xiong_CL-MVSNet_Unsupervised_Multi-View_Stereo_with_Dual-Level_Contrastive_Learning_ICCV_2023_paper.pdf) [](https://openaccess.thecvf.com/content/ICCV2023/supplemental/Xiong_CL-MVSNet_Unsupervised_Multi-View_Stereo_with_Dual-Level_Contrastive_Learning_ICCV_2023_supplemental.pdf)
-  [](https://github.com/KaiqiangXiong/CL-MVSNet)
- 
- 
#### Constraining Depth Map Geometry for Multi-View Stereo: A Dual-Depth Approach with Saddle-shaped Depth Cells - [DMVSNet]
-  [](https://openaccess.thecvf.com/content/ICCV2023/papers/Ye_Constraining_Depth_Map_Geometry_for_Multi-View_Stereo_A_Dual-Depth_Approach_ICCV_2023_paper.pdf) [](https://openaccess.thecvf.com/content/ICCV2023/supplemental/Ye_Constraining_Depth_Map_ICCV_2023_supplemental.pdf) [](https://arxiv.org/abs/2307.09160)
-  [](https://github.com/DIVE128/DMVSNet)
- 
#### Bi-ClueMVSNet: Learning Bidirectional Occlusion Clues for Multi-View Stereo
-  [](https://ieeexplore.ieee.org/abstract/document/10191325)
- 
#### Costformer: Cost Transformer for Cost Aggregation in Multi-View Stereo
-  [](https://arxiv.org/abs/2305.10320)
-  [](https://github.com/xmjtt/costformer)
- 
#### Multi‑View Stereo Network With Point Attention - [PA-PointMVSNet]
-  [](https://link.springer.com/article/10.1007/s10489-023-04806-y)
- 
#### Edge-Aware Spatial Propagation Network for Multi-view Depth Estimation
-  [](https://link.springer.com/article/10.1007/s11063-023-11356-4)
- 
#### Uncertainty Awareness With Adaptive Propagation for Multi-View Stereo - [AP-UCSNet]
-  [](https://link.springer.com/article/10.1007/s10489-023-04910-z)
- 
#### AdaptMVSNet: Efficient Multi-View Stereo With Adaptive Convolution and Attention Fusion
-  [](https://www.sciencedirect.com/science/article/abs/pii/S0097849323001838)
- 
#### Adaptive Region Aggregation for Multi-View Stereo Matching Using Deformable Convolutional Networks
-  [](https://onlinelibrary.wiley.com/doi/epdf/10.1111/phor.12459)
- 
#### RepC-MVSNet: A Reparameterized Self-Supervised 3D Reconstruction Algorithm for Wheat 3D Reconstruction
-  [](https://www.mdpi.com/2073-4395/13/8/1975)
- 
#### ES-MVSNet: Efficient Framework for End-to-end Self-supervised Multi-View Stereo
-  [](https://arxiv.org/abs/2308.02191)
- 
#### ARAI-MVSNet: A Multi-View Stereo Depth Estimation Network With Adaptive Depth Range and Depth Interval
-  [](https://www.sciencedirect.com/science/article/abs/pii/S0031320323005836) [](https://arxiv.org/abs/2308.09022)
-  [](https://github.com/zs670980918/ARAI-MVSNet)
- 
#### DSC-MVSNet: Attention Aware Cost Volume Regularization Based on Depthwise Separable Convolution for Multi-View Stereo
-  [](https://link.springer.com/article/10.1007/s40747-023-01106-3)
-  [](https://github.com/zs670980918/DSC-MVSNet)
- 
#### NR-MVSNet: Learning Multi-View Stereo Based on Normal Consistency and Depth Refinement
-  [](https://ieeexplore.ieee.org/abstract/document/10120723)
-  [](https://github.com/wdkyh/NR-MVSNet)
- 
#### PT-MVSNet: Overlapping Attention Multi-view Stereo Network with Transformers
-  [](https://ieeexplore.ieee.org/abstract/document/10167367)
- 
#### Multi-View Stereo Network With Gaussian Distribution Iteration - [GDINet]
-  [](https://ieeexplore.ieee.org/document/10138389)
- 
#### A-SATMVSNet: An Attention-Aware Multi-View Stereo Matching Network Based on Satellite Imagery
-  [](https://www.frontiersin.org/articles/10.3389/feart.2023.1108403/full)
- 
#### GeoMVSNet: Learning Multi-View Stereo with Geometry Perception
-  [](https://openaccess.thecvf.com/content/CVPR2023/papers/Zhang_GeoMVSNet_Learning_Multi-View_Stereo_With_Geometry_Perception_CVPR_2023_paper.pdf) [](https://openaccess.thecvf.com/content/CVPR2023/supplemental/Zhang_GeoMVSNet_Learning_Multi-View_CVPR_2023_supplemental.pdf)
-  [](https://github.com/doubleZ0108/GeoMVSNet)
- [](https://www.youtube.com/watch?v=XqLDgJAZAKc)
- [](https://paperswithcode.com/sota/point-clouds-on-tanks-and-temples?p=geomvsnet-learning-multi-view-stereo-with) [](https://paperswithcode.com/sota/3d-reconstruction-on-dtu?p=geomvsnet-learning-multi-view-stereo-with)
- 
#### Multi-View Stereo Representation Revisit: Region-Aware MVSNet - [RA-MVSNet]
-  [](https://arxiv.org/abs/2304.13614)
- 
#### RIAV-MVS: Recurrent-Indexing an Asymmetric Volume for Multi-View Stereo
-  [](https://arxiv.org/abs/2205.14320)
- 
#### Iterative Geometry Encoding Volume for Stereo Matching - [IGEV-MVS]
-  [](https://arxiv.org/abs/2303.06615)
-  [](https://github.com/gangweiX/IGEV)
- 
#### N2MVSNet: Non-Local Neighbors Aware Multi-View Stereo Network
-  [](https://ieeexplore.ieee.org/document/10095299)
- 
#### Context-Guided Multi-View Stereo with Depth Back-Projection - [ContextMVS]
-  [](https://link.springer.com/chapter/10.1007/978-3-031-27818-1_8)
- 
#### Unsupervised OmniMVS: Efficient Omnidirectional Depth Inference via Establishing Pseudo-Stereo Supervision - [Un-OmniMVS]
-  [](https://arxiv.org/abs/2302.09922)
-  [](https://github.com/Chen-z-s/Un-OmniMVS)
- 
- 
#### MG-MVSNet: Multiple Granularities Feature Fusion Network for Multi-View Stereo
-  [](https://www.sciencedirect.com/science/article/pii/S092523122300070X)
- 
#### FFP-MVSNet: Feature Fusion Based Patchmatch for Multi-View Stereo
-  [](https://link.springer.com/chapter/10.1007/978-981-99-1260-5_21)
- 
#### MosaicMVS: Mosaic-based Omnidirectional Multi-View Stereo for Indoor Scenes
-  [](https://ieeexplore.ieee.org/document/10005048)
-  [](https://github.com/min-jung-shin/MosaicMVS)
- 
#### DELS-MVS: Deep Epipolar Line Search for Multi-View Stereo
-  [](https://openaccess.thecvf.com/content/WACV2023/papers/Sormann_DELS-MVS_Deep_Epipolar_Line_Search_for_Multi-View_Stereo_WACV_2023_paper.pdf) [](https://openaccess.thecvf.com/content/WACV2023/supplemental/Sormann_DELS-MVS_Deep_Epipolar_WACV_2023_supplemental.pdf) [](https://arxiv.org/abs/2212.06626)
- 
#### 360MVSNet: Deep Multi-View Stereo Network with 360◦ Images for Indoor Scene Reconstruction
-  [](https://openaccess.thecvf.com/content/WACV2023/papers/Chiu_360MVSNet_Deep_Multi-View_Stereo_Network_With_360deg_Images_for_Indoor_WACV_2023_paper.pdf) [](https://openaccess.thecvf.com/content/WACV2023/supplemental/Chiu_360MVSNet_Deep_Multi-View_WACV_2023_supplemental.pdf)
- [](https://jdily.github.io/proj_site/360mvsnet_proj.html)
- 
#### nLMVS-Net: Deep Non-Lambertian Multi-View Stereo
-  [](https://openaccess.thecvf.com/content/WACV2023/papers/Yamashita_nLMVS-Net_Deep_Non-Lambertian_Multi-View_Stereo_WACV_2023_paper.pdf) [](https://openaccess.thecvf.com/content/WACV2023/supplemental/Yamashita_nLMVS-Net_Deep_Non-Lambertian_WACV_2023_supplemental.zip) [](https://arxiv.org/abs/2207.11876)
- [](https://vision.ist.i.kyoto-u.ac.jp/)
- 
#### Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation - [EPNet]
-  [](https://ojs.aaai.org/index.php/AAAI/article/view/25330)
-  [](https://github.com/susuwj/EPNet)
- 
#### Rethinking Disparity: A Depth Range Free Multi-View Stereo Based on Disparity - [DispMVS]
-  [](https://arxiv.org/abs/2211.16905)
-  [](https://github.com/Yannnnnnnnnnnn/DispMVS_release)
- 
#### MVSFormer: Multi-View Stereo with Pre-trained Vision Transformers and Temperature-based Depth
-  [](https://arxiv.org/abs/2208.02541)
-  [](https://github.com/ewrfcas/MVSFormer)
- 
### 2022
#### GigaMVS: A Benchmark for Ultra-Large-Scale Gigapixel-Level 3D Reconstruction
-  [](https://ieeexplore.ieee.org/abstract/document/9547729)
-  [](https://github.com/THU-luvision/GigaMVS)
- [](https://gigavision.cn/data/news/?nav=GigaMVS%20RAWDATA)
- 
#### Multistage Pixel-Visibility Learning With Cost Regularization for Multiview Stereo
-  [](https://ieeexplore.ieee.org/abstract/document/9761790)
- 
#### Global Contextual Complementary Network for Multi-View Stereo
-  [](https://bmvc2022.mpi-inf.mpg.de/0919.pdf) [](https://bmvc2022.mpi-inf.mpg.de/0919_poster.pdf)
- [](https://bmvc2022.mpi-inf.mpg.de/919/)
- 
#### Hybrid Cost Volume Regularization for Memory-efficient Multi-View Stereo Networks - [HR-MVSNet]
-  [](https://bmvc2022.mpi-inf.mpg.de/0073.pdf) [](https://bmvc2022.mpi-inf.mpg.de/0073_poster.pdf)
- [](https://bmvc2022.mpi-inf.mpg.de/73/)
- 
#### Sparse Prior Guided Deep Multi-View Stereo - [SPGNet]
-  [](https://www.sciencedirect.com/science/article/abs/pii/S0097849322001157)
- 
#### Uncertainty-guided Multi-View Stereo Network for Depth Estimation - [UGNet]
-  [](https://ieeexplore.ieee.org/abstract/document/9797764/)
- 
#### Adaptive Range guided Multi-View Depth Estimation with Normal Ranking Loss - [BDE-MVSNet]
-  [](https://openaccess.thecvf.com/content/ACCV2022/papers/Ding_Adaptive_Range_guided_Multi-view_Depth_Estimation_with_Normal_Ranking_Loss_ACCV_2022_paper.pdf)
- 
#### ElasticMVS: Learning Elastic Part Representation for Self-Supervised Multi-View Stereopsis
-  [](https://openreview.net/forum?id=lAN7mytwrIy) [](https://openreview.net/attachment?id=lAN7mytwrIy&name=supplementary_material)
- 
#### WT-MVSNet: Window-based Transformers for Multi-View Stereo
-  [](https://openreview.net/forum?id=EeCdsAj80Wr) [](https://openreview.net/attachment?id=EeCdsAj80Wr&name=supplementary_material) [](https://arxiv.org/abs/2205.14319)
- 
#### Multi-View Guided Multi-View Stereo - [Guided-MVS]
-  [](https://arxiv.org/abs/2210.11467)
-  [](https://github.com/andreaconti/multi-view-guided-multi-view-stereo)
- 
#### ParseMVS: Learning Primitive-aware Surface Representations for Sparse Multi-View Stereopsis
-  [](https://dl.acm.org/doi/abs/10.1145/3503161.3547920) [](https://dl.acm.org/action/downloadSupplement?doi=10.1145%2F3503161.3547920&file=MM22-fp0726.mp4)
- 
#### Self-Supervised Multi-View Stereo via Adjacent Geometry Guided Volume Completion
-  [](https://dl.acm.org/doi/10.1145/3503161.3547926) [](https://dl.acm.org/action/downloadSupplement?doi=10.1145%2F3503161.3547926&file=MM22-fp0750.mp4)
- 
- 
#### Self-supervised Multi-View Stereo via Inter and Intra Network Pseudo Depth
-  [](https://dl.acm.org/doi/abs/10.1145/3503161.3548212) [](https://dl.acm.org/action/downloadSupplement?doi=10.1145%2F3503161.3548212&file=MM22-fp1890.mp4)
- 
- 
#### Deep PatchMatch MVS with Learned Patch Coplanarity, Geometric Consistency and Adaptive Pixel Sampling
-  [](https://arxiv.org/abs/2210.07582)
- 
#### PSP-MVSNet: Deep Patch-Based Similarity Perceptual for Multi-View Stereo Depth Inference
-  [](https://link.springer.com/chapter/10.1007/978-3-031-15919-0_27)
- 
#### End-to-End Multi-View Structure-from-Motion with Hypercorrelation Volumes
-  [](https://arxiv.org/abs/2209.06926)
- 
#### A Benchmark and a Baseline for Robust Multi-View Depth Estimation
-  [](https://arxiv.org/abs/2209.06681)
-  [](https://github.com/lmb-freiburg/robustmvd)
- 
#### Cost Volume Pyramid Network with Multi-strategies Range Searching for Multi-View Stereo - [MSCVP-MVSNet]
-  [](https://arxiv.org/abs/2207.12032)
-  [](https://github.com/SibylGao/MSCVP-MVSNet)
- 
#### ATLAS-MVSNet: Attention Layers for Feature Extraction and Cost Volume Regularization in Multi-View Stereo
- 
-  [](https://github.com/rafael-weilharter/ATLAS-MVSNet)
- [](https://www.youtube.com/watch?v=ZLKGKlTloAI)
- 
#### DS-MVSNet: Unsupervised Multi-View Stereo via Depth Synthesis
-  [](https://arxiv.org/abs/2208.06674)
-  [](https://github.com/wdkyh/DS-MVSNet)
- 
- 
#### IS-MVSNet: Importance-sampling-based MVSNet
-  [](https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136920663.pdf)
-  [](https://github.com/NoOneUST/IS-MVSNet)
- 
#### KD-MVS: Knowledge Distillation Based Self-supervised Learning for Multi-View Stereo
-  [](https://arxiv.org/abs/2207.10425)
-  [](https://github.com/megvii-research/KD-MVS)
-  [](https://dingyikang.github.io/kdmvs.github.io)
- 
#### Semi-supervised Deep Multi-View Stereo
-  [](https://arxiv.org/abs/2207.11699)
- 
#### Miper-MVS: Multi-Scale Itearative Probability Estimation with Refinement for Efficient Multi-View Stereo
-  [](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4176484)
-  [](https://github.com/zhz120/Miper-MVS)
- 
#### RC-MVSNet: Unsupervised Multi-View Stereo with Neural Rendering
-  [](https://arxiv.org/abs/2203.03949)
-  [](https://github.com/Boese0601/RC-MVSNet)
-  [](https://boese0601.github.io/rc-mvsnet)
- 
#### Enhancing Multi-View Stereo with Contrastive Matching and Weighted Focal Loss
-  [](https://arxiv.org/abs/2206.10360)
- 
#### MVSTER: Epipolar Transformer for Efficient Multi-View Stereo
-  [](https://arxiv.org/abs/2204.07346)
-  [](https://github.com/JeffWang987/MVSTER)
- 
#### Multiview Stereo with Cascaded Epipolar RAFT - [CER-MVS]
-  [](https://arxiv.org/abs/2205.04502)
-  [](https://github.com/princeton-vl/CER-MVS)
- 
#### Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-View Reconstruction
-  [](https://arxiv.org/abs/2205.15848)
- 
#### Bidirectional Hybrid LSTM Based Recurrent Neural Network for Multi-View Stereo - [BH-MVSNet]
-  [](https://ieeexplore.ieee.org/abstract/document/9754239)
- 
#### Exploiting Correspondences with All-pairs Correlations for Multi-View Depth Estimation
-  [](https://arxiv.org/abs/2205.02481)
- 
#### Multi-View Stereo with Transformer - [MVSTR]
-  [](https://arxiv.org/abs/2112.00336)
- 
#### MVS-T: A Coarse-to-Fine Multi-View Stereo Network with Transformer for Low-Resolution Images 3D Reconstruction
-  [](https://www.mdpi.com/1424-8220/22/19/7659)
- 
#### Efficient Multi-View Stereo by Iterative Dynamic Cost Volume - [Effi-MVS]
-  [](https://openaccess.thecvf.com/content/CVPR2022/papers/Wang_Efficient_Multi-View_Stereo_by_Iterative_Dynamic_Cost_Volume_CVPR_2022_paper.pdf) [](https://openaccess.thecvf.com/content/CVPR2022/supplemental/Wang_Efficient_Multi-View_Stereo_CVPR_2022_supplemental.pdf)
-  [](https://github.com/bdwsq1996/Effi-MVS)
- 
#### Non-parametric Depth Distribution Modelling based Depth Inference for Multi-View Stereo - [NP-CVP-MVS]
-  [](https://arxiv.org/abs/2205.03783)
-  [](https://github.com/NVlabs/NP-CVP-MVSNet)
- 
#### Generalized Binary Search Network for Highly-Efficient Multi-View Stereo - [GBi-Net]
-  [](https://arxiv.org/abs/2112.02338)
-  [](https://github.com/MiZhenxing/GBi-Net)
- 
#### Rethinking Depth Estimation for Multi-View Stereo: A Unified Representation and Focal Loss - [UniMVSNet]
-  [](https://arxiv.org/abs/2201.01501)
-  [](https://github.com/prstrive/UniMVSNet)
- [](https://paperswithcode.com/sota/3d-reconstruction-on-dtu?p=rethinking-depth-estimation-for-multi-view)
- 
#### TransMVSNet: Global Context-aware Multi-View Stereo Network with Transformers
-  [](https://arxiv.org/abs/2111.14600)
-  [](https://github.com/MegviiRobot/TransMVSNet)
- [](https://paperswithcode.com/sota/3d-reconstruction-on-dtu?p=transmvsnet-global-context-aware-multi-view)
- 
#### IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo
-  [](https://openaccess.thecvf.com/content/CVPR2022/papers/Wang_IterMVS_Iterative_Probability_Estimation_for_Efficient_Multi-View_Stereo_CVPR_2022_paper.pdf) [](https://openaccess.thecvf.com/content/CVPR2022/supplemental/Wang_IterMVS_Iterative_Probability_CVPR_2022_supplemental.pdf) [](https://arxiv.org/abs/2112.05126)
-  [](https://github.com/FangjinhuaWang/IterMVS)
- 
#### Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry - [MaGNet]
-  [](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) [](https://openaccess.thecvf.com/content/CVPR2022/supplemental/Bae_Multi-View_Depth_Estimation_CVPR_2022_supplemental.pdf) [](http://arxiv.org/abs/2112.08177)
-  [](https://github.com/baegwangbin/MaGNet)
- 
#### Curvature-guided dynamic scale networks for Multi-View Stereo - [CDS-MVSNet]
-  [](https://openreview.net/pdf?id=_Wzj0J2xs2D) [](https://openreview.net/attachment?id=_Wzj0J2xs2D&name=supplementary_material) [](https://arxiv.org/abs/2112.05999)
-  [](https://github.com/TruongKhang/cds-mvsnet)
- [](https://paperswithcode.com/sota/3d-reconstruction-on-dtu?p=curvature-guided-dynamic-scale-networks-for-1) [](https://paperswithcode.com/sota/point-clouds-on-tanks-and-temples?p=curvature-guided-dynamic-scale-networks-for-1)
- 
#### DDL-MVS: Depth Discontinuity Learning for MVS Networks - [iMVS]
-  [](https://arxiv.org/abs/2203.01391)
-  [](https://github.com/Mirmix/ddlmvs)
- 
#### PatchMVSNet: Patch-wise Unsupervised Multi-View Stereo for Weakly-Textured Surface Reconstruction
-  [](https://arxiv.org/abs/2203.02156)
- 
#### PlaneMVS: 3D Plane Reconstruction from Multi-View Stereo
-  [](https://openaccess.thecvf.com/content/CVPR2022/papers/Liu_PlaneMVS_3D_Plane_Reconstruction_From_Multi-View_Stereo_CVPR_2022_paper.pdf) [](https://openaccess.thecvf.com/content/CVPR2022/supplemental/Liu_PlaneMVS_3D_Plane_CVPR_2022_supplemental.pdf) [](https://arxiv.org/abs/2203.12082)
- 
#### RayMVSNet: Learning Ray-based 1D Implicit Fields for Accurate Multi-View Stereo
-  [](https://openaccess.thecvf.com/content/CVPR2022/papers/Xi_RayMVSNet_Learning_Ray-Based_1D_Implicit_Fields_for_Accurate_Multi-View_Stereo_CVPR_2022_paper.pdf) [](https://openaccess.thecvf.com/content/CVPR2022/supplemental/Xi_RayMVSNet_Learning_Ray-Based_CVPR_2022_supplemental.pdf) [](https://arxiv.org/abs/2204.01320)  [](https://ieeexplore.ieee.org/abstract/document/10185080)
-  [](https://github.com/Airobin329/RayMVSNet)
- 
#### DRI-MVSNet: A Depth Residual Inference Network for Multi-View Stereo Images
-  [](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8942269/pdf/pone.0264721.pdf)
- 
#### A Semi‑Supervised Method for PatchMatch Multi‑View Stereo with Sparse Points
-  [](https://www.mdpi.com/2304-6732/9/12/983)
- 
#### DEMVSNet: Denoising and Depth Inference for Unstructured Multi‐view Stereo on Noised Images
-  [](https://ietresearch.onlinelibrary.wiley.com/doi/full/10.1049/cvi2.12102)
- 
#### Learning Inverse Depth Regression for Pixelwise Visibility-Aware Multi-View Stereo Networks - [PVSNet]
-  [](https://link.springer.com/article/10.1007/s11263-022-01628-2) [](https://arxiv.org/abs/2007.07714)
- 
### 2021
#### Long-range Attention Network for Multi-View Stereo
-  [](https://openaccess.thecvf.com/content/WACV2021/papers/Zhang_Long-Range_Attention_Network_for_Multi-View_Stereo_WACV_2021_paper.pdf)
- [](https://www.youtube.com/watch?v=BfwBth3HgQU)
- 
#### PatchmatchNet: Learned Multi-View Patchmatch Stereo
-  [](https://openaccess.thecvf.com/content/CVPR2021/papers/Wang_PatchmatchNet_Learned_Multi-View_Patchmatch_Stereo_CVPR_2021_paper.pdf) [](https://openaccess.thecvf.com/content/CVPR2021/supplemental/Wang_PatchmatchNet_Learned_Multi-View_CVPR_2021_supplemental.pdf) [](http://arxiv.org/abs/2012.01411)
-  [](https://github.com/FangjinhuaWang/PatchmatchNet)
- 
#### DeepVideoMVS: Multi-View Stereo on Video With Recurrent Spatio-Temporal Fusion
-  [](https://openaccess.thecvf.com/content/CVPR2021/papers/Duzceker_DeepVideoMVS_Multi-View_Stereo_on_Video_With_Recurrent_Spatio-Temporal_Fusion_CVPR_2021_paper.pdf) [](https://openaccess.thecvf.com/content/CVPR2021/supplemental/Duzceker_DeepVideoMVS_Multi-View_Stereo_CVPR_2021_supplemental.pdf) [](http://arxiv.org/abs/2012.02177)
-  [](https://github.com/ardaduz/deep-video-mvs)
- [](https://www.youtube.com/watch?v=ikpotjxwcp4)
- 
#### Self-Supervised Learning of Depth Inference for Multi-View Stereo
-  [](https://openaccess.thecvf.com/content/CVPR2021/papers/Yang_Self-Supervised_Learning_of_Depth_Inference_for_Multi-View_Stereo_CVPR_2021_paper.pdf) [](https://openaccess.thecvf.com/content/CVPR2021/supplemental/Yang_Self-Supervised_Learning_of_CVPR_2021_supplemental.pdf) [](http://arxiv.org/abs/2104.02972)
-  [](https://github.com/JiayuYANG/Self-supervised-CVP-MVSNet)
- 
- 
#### Mˆ3VSNet: Unsupervised Multi-Metric Multi-View Stereo Network
-  [](https://arxiv.org/abs/2005.00363)
-  [](https://github.com/whubaichuan/M3VSNet)
- 
- 
#### AA-RMVSNet: Adaptive Aggregation Recurrent Multi-View Stereo Network
-  [](https://openaccess.thecvf.com/content/ICCV2021/papers/Wei_AA-RMVSNet_Adaptive_Aggregation_Recurrent_Multi-View_Stereo_Network_ICCV_2021_paper.pdf) [](https://openaccess.thecvf.com/content/ICCV2021/supplemental/Wei_AA-RMVSNet_Adaptive_Aggregation_ICCV_2021_supplemental.pdf) [](https://arxiv.org/abs/2108.03824)
-  [](https://github.com/QT-Zhu/AA-RMVSNet)
- 
#### Digging into Uncertainty in Self-supervised Multi-View Stereo
-  [](https://openaccess.thecvf.com/content/ICCV2021/papers/Xu_Digging_Into_Uncertainty_in_Self-Supervised_Multi-View_Stereo_ICCV_2021_paper.pdf) [](https://openaccess.thecvf.com/content/ICCV2021/supplemental/Xu_Digging_Into_Uncertainty_ICCV_2021_supplemental.pdf) [](http://arxiv.org/abs/2108.12966)
-  [](https://github.com/ToughStoneX/U-MVS)
- 
- 
#### Self-Supervised Multi-View Stereo via Effective Co-segmentation and Data-Augmentation
-  [](https://www.aaai.org/AAAI21Papers/AAAI-2549.XuH.pdf) [](https://arxiv.org/abs/2104.05374)
-  [](https://github.com/ToughStoneX/Self-Supervised-MVS)
- 
- 
#### MVS2D: Efficient Multi-View Stereo via Attention-Driven 2D Convolutions
-  [](http://arxiv.org/abs/2104.13325)
-  [](https://github.com/zhenpeiyang/MVS2D)
- [](https://zhenpeiyang.github.io/MVS2D/)
- 
#### IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions
-  [](https://www.bmvc2021-virtualconference.com/assets/papers/0902.pdf) [](https://www.bmvc2021-virtualconference.com/assets/supp/0902_supp.zip) [](https://arxiv.org/abs/2111.14420)
- [](https://paperswithcode.com/sota/3d-reconstruction-on-dtu?p=ib-mvs-an-iterative-algorithm-for-deep-multi) [](https://paperswithcode.com/sota/point-clouds-on-tanks-and-temples?p=ib-mvs-an-iterative-algorithm-for-deep-multi)
- 
#### EPP-MVSNet: Epipolar-Assembling Based Depth Prediction for Multi-View Stereo
-  [](https://openaccess.thecvf.com/content/ICCV2021/papers/Ma_EPP-MVSNet_Epipolar-Assembling_Based_Depth_Prediction_for_Multi-View_Stereo_ICCV_2021_paper.pdf)
-  [](https://github.com/mindspore-ai/models)
- [](https://paperswithcode.com/sota/3d-reconstruction-on-dtu?p=epp-mvsnet-epipolar-assembling-based-depth) [](https://paperswithcode.com/sota/point-clouds-on-tanks-and-temples?p=epp-mvsnet-epipolar-assembling-based-depth)
- 
#### NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-View Stereo
-  [](https://openaccess.thecvf.com/content/ICCV2021/papers/Wei_NerfingMVS_Guided_Optimization_of_Neural_Radiance_Fields_for_Indoor_Multi-View_ICCV_2021_paper.pdf) [](https://openaccess.thecvf.com/content/ICCV2021/supplemental/Wei_NerfingMVS_Guided_Optimization_ICCV_2021_supplemental.zip) [](http://arxiv.org/abs/2109.01129)
-  [](https://github.com/weiyithu/NerfingMVS)
- [](https://youtu.be/i-b5lPnYipA) [](https://weiyithu.github.io/NerfingMVS)
- 
#### Just a Few Points Are All You Need for Multi-View Stereo: A Novel Semi-Supervised Learning Method for Multi-View Stereo - [SGT-MVSNet]
-  [](https://openaccess.thecvf.com/content/ICCV2021/papers/Kim_Just_a_Few_Points_Are_All_You_Need_for_Multi-View_ICCV_2021_paper.pdf) [](https://openaccess.thecvf.com/content/ICCV2021/supplemental/Kim_Just_a_Few_ICCV_2021_supplemental.pdf)
- 
#### Learning Signed Distance Field for Multi-View Surface Reconstruction - [MVSDF]
-  [](https://openaccess.thecvf.com/content/ICCV2021/papers/Zhang_Learning_Signed_Distance_Field_for_Multi-View_Surface_Reconstruction_ICCV_2021_paper.pdf) [](https://openaccess.thecvf.com/content/ICCV2021/supplemental/Zhang_Learning_Signed_Distance_ICCV_2021_supplemental.zip) [](http://arxiv.org/abs/2108.09964)
-  [](https://github.com/jzhangbs/MVSDF)
- 
#### PatchMatch-RL: Deep MVS With Pixelwise Depth, Normal, and Visibility
-  [](https://openaccess.thecvf.com/content/ICCV2021/papers/Lee_PatchMatch-RL_Deep_MVS_With_Pixelwise_Depth_Normal_and_Visibility_ICCV_2021_paper.pdf) [](https://openaccess.thecvf.com/content/ICCV2021/supplemental/Lee_PatchMatch-RL_Deep_MVS_ICCV_2021_supplemental.pdf) [](https://arxiv.org/abs/2108.08943)
-  [](https://github.com/leejaeyong7/patchmatch-rl)
- 
#### Deep Multi-View Stereo Gone Wild
-  [](https://conferences.computer.org/3dvpub/pdfs/3DV2021-5lXBZyiG3QAsRBKXHIjqU8/268800a484/268800a484.pdf) [](https://arxiv.org/abs/2104.15119)
-  [](https://github.com/fdarmon/wild_deep_mvs)
- [](https://imagine.enpc.fr/~darmonf/wild_deep_mvs/)
- 
#### HighRes-MVSNet: A Fast Multi-View Stereo Network for Dense 3D Reconstruction From High-Resolution Images
-  [](https://ieeexplore.ieee.org/document/9319163)
- 
#### AACVP-MVSNet: Attention-Aware Cost Volume Pyramid Based Multi-View Stereo Network for 3D Reconstruction
-  [](https://www.sciencedirect.com/science/article/pii/S0924271621000794) [](https://arxiv.org/abs/2011.12722)
-  [](https://github.com/ArthasMil/AACVP-MVSNet)
- 
#### Non-local Recurrent Regularization Networks for Multi-View Stereo
-  [](https://arxiv.org/abs/2110.06436)
- 
#### DDR-Net: Learning Multi-Stage Multi-View Stereo With Dynamic Depth Range
-  [](https://arxiv.org/abs/2103.14275)
-  [](https://github.com/Tangshengku/DDR-Net)
- 
#### Tandem: Tracking and Dense Mapping in Real-Time Using Deep Multi-View Stereo - [CVA-MVSNet]
-  [](https://openreview.net/pdf?id=FzMHiDesj0I) [](https://openreview.net/attachment?id=FzMHiDesj0I&name=supplementary_material) [](https://arxiv.org/abs/2111.07418)
-  [](https://github.com/tum-vision/tandem)
- [](https://youtu.be/L4C8Q6Gvl1w) [](https://vision.in.tum.de/research/vslam/tandem)
- 
### 2020
#### BlendedMVS: A Large-Scale Dataset for Generalized Multi-View Stereo Networks
-  [](https://openaccess.thecvf.com/content_CVPR_2020/papers/Yao_BlendedMVS_A_Large-Scale_Dataset_for_Generalized_Multi-View_Stereo_Networks_CVPR_2020_paper.pdf) [](https://openaccess.thecvf.com/content_CVPR_2020/supplemental/Yao_BlendedMVS_A_Large-Scale_CVPR_2020_supplemental.pdf) [](http://arxiv.org/abs/1911.10127)
-  [](https://github.com/YoYo000/BlendedMVS)
- [](https://youtu.be/3mMuSwpjd8A)
- 
#### MVSNet++: Learning Depth-Based Attention Pyramid Features for Multi-View Stereo
-  [](https://ieeexplore.ieee.org/document/9115828)
- [](https://www.youtube.com/watch?v=VRTEWxt1P68)
- 
#### Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching
-  [](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) [](http://arxiv.org/abs/1912.06378)
-  [](https://github.com/alibaba/cascade-stereo)
- [](https://www.youtube.com/watch?v=rcJiRQqDKbo)
- 
#### BP-MVSNet: Belief-Propagation-Layers for Multi-View-Stereo
-  [](https://www.computer.org/csdl/proceedings-article/3dv/2020/812800a394/1qyxkbFekXC) [](https://arxiv.org/abs/2010.12436)
- 
#### Deep Stereo using Adaptive Thin Volume Representation with Uncertainty Awareness - [UCSNet]
-  [](https://openaccess.thecvf.com/content_CVPR_2020/papers/Cheng_Deep_Stereo_Using_Adaptive_Thin_Volume_Representation_With_Uncertainty_Awareness_CVPR_2020_paper.pdf) [](https://openaccess.thecvf.com/content_CVPR_2020/supplemental/Cheng_Deep_Stereo_Using_CVPR_2020_supplemental.pdf) [](https://arxiv.org/abs/1911.12012)
-  [](https://github.com/touristCheng/UCSNet)
- [](https://paperswithcode.com/sota/3d-reconstruction-on-dtu?p=deep-stereo-using-adaptive-thin-volume) [](https://paperswithcode.com/sota/point-clouds-on-tanks-and-temples?p=deep-stereo-using-adaptive-thin-volume)
- 
#### Fast-MVSNet: Sparse-to-Dense Multi-View Stereo with Learned Propagation and Gauss-Newton Refinement
-  [](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) [](https://openaccess.thecvf.com/content_CVPR_2020/supplemental/Yu_Fast-MVSNet_Sparse-to-Dense_Multi-View_CVPR_2020_supplemental.pdf) [](https://arxiv.org/abs/2003.13017)
-  [](https://github.com/svip-lab/FastMVSNet)
- [](https://www.youtube.com/watch?v=34c3Vf9g7kM)
- 
#### Learning Inverse Depth Regression for Multi-View Stereo with Correlation Cost Volume - [CIDER]
-  [](https://ojs.aaai.org//index.php/AAAI/article/view/6939/6793) [](https://arxiv.org/abs/1912.11746)
-  [](https://github.com/GhiXu/CIDER)
- 
#### Attention-Aware Multi-View Stereo - [AttMVSNet]
-  [](https://openaccess.thecvf.com/content_CVPR_2020/papers/Luo_Attention-Aware_Multi-View_Stereo_CVPR_2020_paper.pdf)
- 
#### A Novel Recurrent Encoder-Decoder Structure for Large-Scale Multi-View Stereo Reconstruction from an Open Aerial Dataset
-  [](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) [](http://arxiv.org/abs/2003.00637)
-  [](https://github.com/gpcv-liujin/REDNet)
- [](https://www.youtube.com/watch?v=gZds3nKoPR8)
- 
#### Cost Volume Pyramid Based Depth Inference for Multi-View Stereo - [CVP-MVSNet]
-  [](https://openaccess.thecvf.com/content_CVPR_2020/papers/Yang_Cost_Volume_Pyramid_Based_Depth_Inference_for_Multi-View_Stereo_CVPR_2020_paper.pdf) [](https://openaccess.thecvf.com/content_CVPR_2020/supplemental/Yang_Cost_Volume_Pyramid_CVPR_2020_supplemental.pdf) [](http://arxiv.org/abs/1912.08329)
-  [](https://github.com/JiayuYANG/CVP-MVSNet)
- 
#### Pyramid Multi-View Stereo Net with Self-Adaptive View Aggregation - [PVAMVSNet]
-  [](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123540732.pdf) [](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123540732-supp.zip) [](https://arxiv.org/abs/1912.03001)
-  [](https://github.com/yhw-yhw/PVAMVSNet)
- 
#### Dense Hybrid Recurrent Multi-View Stereo Net with Dynamic Consistency Checking
-  [](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123490647.pdf) [](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123490647-supp.zip) [](https://arxiv.org/abs/2007.10872)
-  [](https://github.com/yhw-yhw/D2HC-RMVSNet)
- 
#### Learning to Adapt Multi-View Stereo by Self-Supervision
-  [](https://www.bmvc2020-conference.com/assets/papers/0375.pdf) [](https://www.bmvc2020-conference.com/assets/supp/0375_supp.pdf)
- 
- 
#### Visibility-Aware Multi-View Stereo Network - [Vis-MVSNet]
-  [](https://www.bmvc2020-conference.com/assets/papers/0421.pdf) [](https://www.bmvc2020-conference.com/assets/supp/0421_supp.pdf) [](https://arxiv.org/abs/2008.0792)
-  [](https://github.com/jzhangbs/Vis-MVSNet)
- 
#### A Novel Recurrent Encoder-Decoder Structure for Large-Scale Multi-View Stereo Reconstruction from an Open Aerial Dataset - [REDNet]
-  [](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) [](http://arxiv.org/abs/2003.00637)
-  [](https://github.com/gpcv-liujin/REDNet)
- [](https://www.youtube.com/watch?v=gZds3nKoPR8)
- 
#### NRMVS: Non-Rigid Multi-View Stereo
-  [](https://openaccess.thecvf.com/content_WACV_2020/papers/Innmann_NRMVS_Non-Rigid_Multi-view_Stereo_WACV_2020_paper.pdf) [](https://openaccess.thecvf.com/content_WACV_2020/supplemental/Innmann_NRMVS_Non-Rigid_Multi-view_WACV_2020_supplemental.pdf)
- 
### 2019
#### Multi-View Stereo by Temporal Nonparametric Fusion
-  [](https://openaccess.thecvf.com/content_ICCV_2019/papers/Hou_Multi-View_Stereo_by_Temporal_Nonparametric_Fusion_ICCV_2019_paper.pdf) [](https://openaccess.thecvf.com/content_ICCV_2019/supplemental/Hou_Multi-View_Stereo_by_ICCV_2019_supplemental.pdf) [](https://arxiv.org/abs/1904.06397)
-  [](https://github.com/AaltoML/GP-MVS)
- [](https://www.youtube.com/watch?v=iellGrlNW7k) [](https://aaltoml.github.io/GP-MVS/)
- 
#### DPSNet: End-to-end Deep Plane Sweep Stereo
-  [](https://openreview.net/pdf?id=ryeYHi0ctQ) [](https://arxiv.org/abs/1905.00538)
-  [](https://github.com/sunghoonim/DPSNet)
- 
#### Recurrent Mvsnet for High-Resolution Multi-View Stereo Depth Inference - [RMVSNet]
-  [](https://openaccess.thecvf.com/content_CVPR_2019/papers/Yao_Recurrent_MVSNet_for_High-Resolution_Multi-View_Stereo_Depth_Inference_CVPR_2019_paper.pdf) [](https://openaccess.thecvf.com/content_CVPR_2019/supplemental/Yao_Recurrent_MVSNet_for_CVPR_2019_supplemental.pdf) [](https://arxiv.org/abs/1902.10556)
-  [](https://github.com/YoYo000/MVSNet)
- 
#### Point-Based Multi-View Stereo Network - [PointMVSNet]
-  [](https://openaccess.thecvf.com/content_ICCV_2019/papers/Chen_Point-Based_Multi-View_Stereo_Network_ICCV_2019_paper.pdf) [](https://openaccess.thecvf.com/content_ICCV_2019/supplemental/Chen_Point-Based_Multi-View_Stereo_ICCV_2019_supplemental.pdf) [](https://arxiv.org/abs/1908.04422)  [](https://ieeexplore.ieee.org/abstract/document/9076298)
-  [](https://github.com/callmeray/PointMVSNet)
- [](https://www.youtube.com/watch?v=my3jocjpD0U) [](http://hansf.me/projects/PMVSNet/)
- 
#### P-MVSNet: Learning Patch-Wise Matching Confidence Aggregation for Multi-View Stereo
-  [](https://openaccess.thecvf.com/content_ICCV_2019/papers/Luo_P-MVSNet_Learning_Patch-Wise_Matching_Confidence_Aggregation_for_Multi-View_Stereo_ICCV_2019_paper.pdf)
- 
#### MVSCRF: Learning Multi-View Stereo with Conditional Random Fields
-  [](https://openaccess.thecvf.com/content_ICCV_2019/papers/Xue_MVSCRF_Learning_Multi-View_Stereo_With_Conditional_Random_Fields_ICCV_2019_paper.pdf)
- 
#### Learning Unsupervised Multi-View Stereopsis via Robust Photometric Consistency
-  [](https://arxiv.org/abs/1905.02706)
-  [](https://github.com/tejaskhot/unsup_mvs)
- 
[](https://tejaskhot.github.io/unsup_mvs/)
- 
#### MVS2: Deep Unsupervised Multi-View Stereo with Multi-View Symmetry
-  [](https://ieeexplore.ieee.org/abstract/document/8885975) [](https://arxiv.org/abs/1908.11526)
- 
- 
### 2018
#### DeepMVS: Learning Multi-View Stereopsis
-  [](https://openaccess.thecvf.com/content_cvpr_2018/papers/Huang_DeepMVS_Learning_Multi-View_CVPR_2018_paper.pdf) [](https://openaccess.thecvf.com/content_cvpr_2018/Supplemental/2703-supp.pdf) [](http://arxiv.org/abs/1804.00650)
-  [](https://github.com/phuang17/DeepMVS)
- [](https://phuang17.github.io/DeepMVS/index.html)
- 
#### MVDepthNet: Real-time Multiview Depth Estimation Neural Network
-  [](https://www.computer.org/csdl/proceedings-article/3dv/2018/842500a248/17D45WgziSk) [](https://arxiv.org/abs/1807.08563)
-  [](https://github.com/HKUST-Aerial-Robotics/MVDepthNet)
- 
#### MVSNet: Depth Inference for Unstructured Multi-View Stereo
-  [](https://openaccess.thecvf.com/content_ECCV_2018/papers/Yao_Yao_MVSNet_Depth_Inference_ECCV_2018_paper.pdf) [](https://yoyo000.github.io/papers/yao2018mvsnet_supp.pdf) [](https://arxiv.org/abs/1804.02505)
-  [](https://github.com/YoYo000/MVSNet)  [](https://github.com/xy-guo/MVSNet_pytorch)
- [](https://paperswithcode.com/sota/3d-reconstruction-on-dtu?p=mvsnet-depth-inference-for-unstructured-multi) [](https://paperswithcode.com/sota/point-clouds-on-tanks-and-temples?p=mvsnet-depth-inference-for-unstructured-multi)
- 
### 2017
#### SurfaceNet: An End-to-end 3D Neural Network for Multiview Stereopsis
-  [](https://openaccess.thecvf.com/content_ICCV_2017/papers/Ji_SurfaceNet_An_End-To-End_ICCV_2017_paper.pdf) [](http://arxiv.org/abs/1708.01749)  [](https://ieeexplore.ieee.org/document/9099504)
-  [](https://github.com/mjiUST/SurfaceNet)
- 
## PatchMatch-based MVS Methods
### 2024
#### Multiview Stereo via Noise Suppression PatchMatch
-  [](https://ieeexplore.ieee.org/abstract/document/10443640)
- 
#### Polarimetric PatchMatch Multi-View Stereo - [PolarPMS]
-  [](https://openaccess.thecvf.com/content/WACV2024/papers/Zhao_Polarimetric_PatchMatch_Multi-View_Stereo_WACV_2024_paper.pdf) [](http://arxiv.org/abs/2311.07600)
- [](http://www.ok.sc.e.titech.ac.jp/res/PolarPMS/)
- 
### 2023
#### Hierarchical Prior Mining for Non-local Multi-View Stereo - [HPM-MVS]
-  [](https://openaccess.thecvf.com/content/ICCV2023/papers/Ren_Hierarchical_Prior_Mining_for_Non-local_Multi-View_Stereo_ICCV_2023_paper.pdf) [](https://openaccess.thecvf.com/content/ICCV2023/supplemental/Ren_Hierarchical_Prior_Mining_ICCV_2023_supplemental.pdf) [](https://arxiv.org/abs/2303.09758)
-  [](https://github.com/CLinvx/HPM-MVS)
- 
#### TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo
-  [](https://arxiv.org/abs/2308.09990)
- 
#### Hybrid-MVS: Robust Multi-View Reconstruction with Hybrid Optimization of Visual and Depth Cues
-  [](https://ieeexplore.ieee.org/abstract/document/10126077)
- 
#### Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo - [APD-MVS]
-  [](https://openaccess.thecvf.com/content/CVPR2023/papers/Wang_Adaptive_Patch_Deformation_for_Textureless-Resilient_Multi-View_Stereo_CVPR_2023_paper.pdf) [](https://openaccess.thecvf.com/content/CVPR2023/supplemental/Wang_Adaptive_Patch_Deformation_CVPR_2023_supplemental.pdf)
-  [](https://github.com/whoiszzj/APD-MVS)
- 
#### HQP-MVS:High-Quality Plane Priors Assisted Multi-View Stereo for Low-Textured Areas
-  [](https://ieeexplore.ieee.org/document/10121017)
- 
#### Visibility-Aware Pixelwise View Selection for Multi-View Stereo Matching - [AMBC]
-  [](https://arxiv.org/abs/2302.07182)
- 
#### Multiple View Stereo with quadtree-guided priors
-  [](https://www.sciencedirect.com/science/article/pii/S0924271622003288)
-  [](https://github.com/3DOM-FBK/openMVS)
- 
### 2022
#### LGP-MVS: Combined Local and Global Planar Priors Guidance for Indoor Multi-View Stereo
-  [](https://link.springer.com/article/10.1007/s00371-022-02737-2)
- 
#### Multi-View Depth Estimation with Color-Aware Propagation and Texture-Aware Triangulation
-  [](https://ieeexplore.ieee.org/abstract/document/9777330)
- 
#### Multi-Scale Geometric Consistency Guided and Planar Prior Assisted Multi-View Stereo - [ACMMP]
-  [](https://ieeexplore.ieee.org/abstract/document/9863705)
-  [](https://github.com/GhiXu/ACMMP)
#### Revisiting PatchMatch Multi-View Stereo for Urban 3D Reconstruction
-  [](https://arxiv.org/abs/2207.08439)
### 2021
#### PHI-MVS: Plane Hypothesis Inference Multi-View Stereo for Large-Scale Scene Reconstruction
-  [](https://arxiv.org/abs/2104.06165)
-  [](https://github.com/ss2lyf/PHI-MVS)
- 
#### DP-MVS: Detail Preserving Multi-View Surface Reconstruction of Large-Scale Scenes
-  [](https://www.mdpi.com/2072-4292/13/22/4569)
- [](https://youtu.be/jayUkgiw1-M)
- 
#### Adaptive Pixelwise Inference Multi-View Stereo
-  [](https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12083/120830K/Adaptive-pixelwise-inference-multi-view-stereo/10.1117/12.2623392.short)
- 
### 2020
#### Mesh-Guided Multi-View Stereo with Pyramid Architecture - [MG-MVS]
-  [](https://openaccess.thecvf.com/content_CVPR_2020/papers/Wang_Mesh-Guided_Multi-View_Stereo_With_Pyramid_Architecture_CVPR_2020_paper.pdf)
- 
#### Planar Prior Assisted PatchMatch Multi-View Stereo - [ACMP]
-  [](https://aaai.org/ojs/index.php/AAAI/article/view/6940/6794) [](https://arxiv.org/abs/1912.11744)
-  [](https://github.com/GhiXu/ACMP)
- 
#### DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction
-  [](https://ieeexplore.ieee.org/document/9320407) [](https://arxiv.org/abs/1912.00439)
- 
#### MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction
-  [](https://openaccess.thecvf.com/content_CVPR_2020/papers/Xu_MARMVS_Matching_Ambiguity_Reduced_Multiple_View_Stereo_for_Efficient_Large_CVPR_2020_paper.pdf)
- [](https://www.youtube.com/watch?v=r_QZwNbi4m8)
- 
#### Confidence-Based Large-Scale Dense Multi-View Stereo - [CLD-MVS]
-  [](https://ieeexplore.ieee.org/abstract/document/9112642/)
- 
#### A-TVSNet: Aggregated Two-View Stereo Network for Multi-View Stereo Depth Estimation
-  [](https://arxiv.org/abs/2003.00711)
-  [](https://github.com/daiszh/A-TVSNet)
- 
### 2019
#### Multi-Scale Geometric Consistency Guided Multi-View Stereo - [ACMH, ACMM]
-  [](https://openaccess.thecvf.com/content_CVPR_2019/papers/Xu_Multi-Scale_Geometric_Consistency_Guided_Multi-View_Stereo_CVPR_2019_paper.pdf) [](https://arxiv.org/abs/1904.08103)
-  [](https://github.com/GhiXu/ACMM)  [](https://github.com/GhiXu/ACMH)
- 
#### TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo
-  [](https://openaccess.thecvf.com/content_ICCV_2019/papers/Romanoni_TAPA-MVS_Textureless-Aware_PAtchMatch_Multi-View_Stereo_ICCV_2019_paper.pdf) [](https://openaccess.thecvf.com/content_ICCV_2019/supplemental/Romanoni_TAPA-MVS_Textureless-Aware_PAtchMatch_ICCV_2019_supplemental.pdf) [](https://arxiv.org/abs/1903.10929)
- 
#### Plane Completion and Filtering for Multi-View Stereo Reconstruction - [PCFMVS]
-  [](https://dl.acm.org/doi/abs/10.1007/978-3-030-33676-9_2)
- 
#### Pyramid Multi-View Stereo with Local Consistency - [PLC]
-  [](http://graphvision.whu.edu.cn/papers/paper1245_CRC.pdf)
- 
### 2018
#### Multi-View Stereo with Asymmetric Checkerboard Propagation and Multi-Hypothesis Joint View Selection - [AMHMVS]
-  [](https://arxiv.org/abs/1805.07920)
- 
### Early
#### Multi-View Stereo Combined with Space Propagation and Pixel-Level Refinement
-  [](https://ieeexplore.ieee.org/document/8575825)
- 
#### Pixelwise View Selection for Unstructured Multi-View Stereo - [COLMAP]
-  [](https://link.springer.com/content/pdf/10.1007%2F978-3-319-46487-9_31.pdf)  [](https://openaccess.thecvf.com/content_cvpr_2016/papers/Schonberger_Structure-From-Motion_Revisited_CVPR_2016_paper.pdf) [](https://openaccess.thecvf.com/content_cvpr_2016/supplemental/Schonberger_Structure-From-Motion_Revisited_2016_CVPR_supplemental.zip)
-  [](https://github.com/colmap/colmap)
#### A TV Prior for High-Quality Scalable Multi-View Stereo Reconstruction
-  [](https://www.cs.middlebury.edu/~schar/papers/Kuhn-3DV-2014.pdf)
#### Massively Parallel Multiview Stereopsis by Surface Normal Diffusion - [Gipuma]
-  [](https://prs.igp.ethz.ch/content/dam/ethz/special-interest/baug/igp/photogrammetry-remote-sensing-dam/documents/pdf/galliani-lasinger-iccv15.pdf) [](http://www.prs.igp.ethz.ch/content/dam/ethz/special-interest/baug/igp/photogrammetry-remote-sensing-dam/documents/pdf/galliani-lasinger-supplementary-iccv15.pdf)
-  [](https://github.com/kysucix/gipuma)  [](https://github.com/kysucix/fusibile)
- 
#### Patchmatch stereo-stereo matching with slanted support windows
-  [](http://www.bmva.org/bmvc/2011/proceedings/paper14/paper14.pdf)
-  [](https://github.com/ethan-li-coding/PatchMatchStereo)
#### Efficient Large-scale Multi-View Stereo for Ultra High-resolution Image Sets - [Tola / EMVS]
-  [](https://link.springer.com/article/10.1007/s00138-011-0346-8)
-  [](https://github.com/cbalint13/emvs)
#### Using Multiple Hypotheses to Improve Depth-Maps for Multi-View Stereo - [Camp]
-  [](https://link.springer.com/chapter/10.1007/978-3-540-88682-2_58)
#### Accurate, Dense, and Robust Multi-View Stereopsis - [Furu / PMVS]
-  [](https://ieeexplore.ieee.org/document/5226635)
- [](https://www.di.ens.fr/pmvs/)
---
### Other Resources
- [awesome-mvs](https://github.com/krahets/awesome-mvs)
- [Awesome-Learning-MVS](https://github.com/XYZ-qiyh/Awesome-Learning-MVS)