{"id":14298,"url":"https://github.com/alvin528/awesome-implicit-nerf","name":"awesome-implicit-nerf","description":"很棒的NeRF和隐式表示项目","projects_count":53,"last_synced_at":"2026-08-08T04:00:30.235Z","repository":{"id":213563752,"uuid":"518122128","full_name":"alvin528/awesome-implicit-nerf","owner":"alvin528","description":"很棒的NeRF和隐式表示项目","archived":false,"fork":false,"pushed_at":"2022-07-26T07:17:28.000Z","size":88,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2026-07-01T08:04:02.525Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":false,"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/alvin528.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}},"created_at":"2022-07-26T15:43:18.000Z","updated_at":"2023-02-09T12:23:00.000Z","dependencies_parsed_at":"2024-01-13T01:34:17.769Z","dependency_job_id":null,"html_url":"https://github.com/alvin528/awesome-implicit-nerf","commit_stats":null,"previous_names":["alvin528/awesome-implicit-nerf"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/alvin528/awesome-implicit-nerf","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/alvin528%2Fawesome-implicit-nerf","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/alvin528%2Fawesome-implicit-nerf/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/alvin528%2Fawesome-implicit-nerf/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/alvin528%2Fawesome-implicit-nerf/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/alvin528","download_url":"https://codeload.github.com/alvin528/awesome-implicit-nerf/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/alvin528%2Fawesome-implicit-nerf/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":35665444,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-07-19T02:00:06.923Z","response_time":112,"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":"2024-01-12T20:23:54.605Z","updated_at":"2026-08-08T04:00:30.235Z","primary_language":null,"list_of_lists":false,"displayable":true,"categories":["Survey","NeRF Papers","NeRF Introduction","Contributing"],"sub_categories":["Improved rendering speed","Unknown camera poses","Unbounded, large-scale scenes","Transparent objects","Improved training speed","Object pose estimation"],"readme":"# Awesome Neural Radiance Fields [NeRF] and Implicit Representations\n[![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)\n\nA curated list of NeRF and Implicit Representations projects. This long-term repo is frequently updated and contains latest works (including tutorials, lectures, papers, codebases). Stay tuned!\n\n\n## Contributing\nIf you have any suggestions, feel free to send [pull requests](https://github.com/salykovaa/awesome-nerf/pulls)! Modify the `README.md` and follow the format\n``` \n[title](link_to_pdf) \u003cbr\u003e authors \u003cbr\u003e *conference year* | [Project page](link) | [Github](link) | Additional links ...\n``` \n\n[Instant Neural Graphics Primitives with a Multiresolution Hash Encoding](https://arxiv.org/abs/2201.05989)\n\u003cbr\u003e\nThomas Müller, Alex Evans, Christoph Schied, Alexander Keller\n\u003cbr\u003e\n*ACM Transactions on Graphics (SIGGRAPH) 2022* | [Project page](https://nvlabs.github.io/instant-ngp/) | [Github](https://github.com/NVlabs/instant-ngp)\n\n\n## Table of contents\n- [Survey](#survey)\n- [NeRF Introduction](#nerf-introduction)\n- [NeRF Papers](#nerf-papers)\n  - [Improved training speed](#improved-training-speed)\n  - [Improved rendering speed](#improved-rendering-speed)\n  - [Unknown camera poses](#unknown-camera-poses)\n  - [Object pose estimation](#object-pose-estimation)\n  - [Unbounded, large-scale scenes](#unbounded-large-scale-scenes)\n  - [Transparent objects](#transparent-objects)\n\n\n## Survey\n[Neural Fields in Visual Computing and Beyond](https://arxiv.org/abs/2111.11426) \u003cbr\u003e Yiheng Xie, Towaki Takikawa, Shunsuke Saito, Or Litany, Shiqin Yan, Numair Khan, Federico Tombari, James Tompkin, Vincent Sitzmann, Srinath Sridhar \u003cbr\u003e *Computer Graphics Forum (Eurographics 2022)* | [Project page](https://neuralfields.cs.brown.edu/) | [Recording](https://www.youtube.com/watch?v=hr2WQCs_P78)\n\n[Lecture: Neural Scene Representation, Rendering, and Generation](https://www.youtube.com/watch?v=0KslwGsI9X8) \u003cbr\u003e Gordon Wetzstein \u003cbr\u003e *TUM AI Lecture Series, 2022*\n\n[Advances in Neural Rendering](https://arxiv.org/abs/2111.05849) \u003cbr\u003e Ayush Tewari, Justus Thies, Ben Mildenhall, Pratul Srinivasan, Edgar Tretschk, Yifan Wang, Christoph Lassner, Vincent Sitzmann, Ricardo Martin-Brualla, Stephen Lombardi, Tomas Simon, Christian Theobalt, Matthias Niessner, Jonathan T. Barron, Gordon Wetzstein, Michael Zollhoefer, Vladislav Golyanik \u003cbr\u003e *SIGGRAPH 2021* | [Recording: part 1](https://www.youtube.com/watch?v=otly9jcZ0Jg) | [Recording: part 2](https://www.youtube.com/watch?v=aboFl5ozImM)\n\n[Neural Volume Rendering: NeRF And Beyond](https://arxiv.org/abs/2101.05204) \u003cbr\u003e Frank Dellaert, Lin Yen-Chen \u003cbr\u003e *Arxiv 2021*\n\n[Lecture: Implicit Neural Scene Representations](https://www.youtube.com/watch?v=__F9CCqbWQk) \u003cbr\u003e Vincent Sitzmann \u003cbr\u003e *TUM AI Lecture Series 2020*\n\n[Seminar: Neural Rendering](https://www.youtube.com/watch?v=LCTYRqW-ne8) \u003cbr\u003e *CVPR 2020* | [Morning session](https://www.youtube.com/watch?v=LCTYRqW-ne8) | [Afternoon session](https://www.youtube.com/watch?v=JlyGNvbGKB8)\n\n[Seminar: Why Neural Rendering is Super Cool!](https://www.youtube.com/watch?v=-KGZmzP4P1I) \u003cbr\u003e Matthias Niessner \u003cbr\u003e *MIT CSAIL 2020*\n\n\n## NeRF Introduction\n[Lecture: Understanding and Extending Neural Radiance Fields](https://www.youtube.com/watch?v=nRyOzHpcr4Q) \u003cbr\u003e Jon Barron \u003cbr\u003e *TUM AI Lecture Series, 2020*\n\n[NeRF: Neural Radiance Fields (10 min talk)](https://www.youtube.com/watch?v=LRAqeM8EjOo) \u003cbr\u003e Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng \u003cbr\u003e *ECCV 2020*\n\n[NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis (ML Research Paper Explained)](https://www.youtube.com/watch?v=CRlN-cYFxTk) \u003cbr\u003e Yannic Kilcher \u003cbr\u003e *2021*\n\n[It’s NeRF From Nothing: Build A Complete NeRF with PyTorch](https://towardsdatascience.com/its-nerf-from-nothing-build-a-vanilla-nerf-with-pytorch-7846e4c45666) \u003cbr\u003e Mason McGough \u003cbr\u003e *Article from [towardsdatascience.com](https://towardsdatascience.com), 2021*\n\n[Computer Graphics and Deep Learning with NeRF using TensorFlow and Keras](https://pyimagesearch.com/2021/11/10/computer-graphics-and-deep-learning-with-nerf-using-tensorflow-and-keras-part-1/) \u003cbr\u003e Aritra Roy Gosthipaty and Ritwik Raha \u003cbr\u003e *PyImageSearch 2021* | [Part 1](https://pyimagesearch.com/2021/11/10/computer-graphics-and-deep-learning-with-nerf-using-tensorflow-and-keras-part-1/) | [Part 2](https://pyimagesearch.com/2021/11/17/computer-graphics-and-deep-learning-with-nerf-using-tensorflow-and-keras-part-2/)\n\n\n## NeRF Papers\n\n[NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis](https://arxiv.org/abs/2003.08934) \u003cbr\u003e Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng \u003cbr\u003e *ECCV 2020* | [Project page](https://www.matthewtancik.com/nerf) | [Github](https://github.com/bmild/nerf) | [Video](https://www.youtube.com/watch?v=JuH79E8rdKc)\n\n### Improved training speed\n\n[Instant Neural Graphics Primitives with a Multiresolution Hash Encoding](https://arxiv.org/abs/2201.05989) \u003cbr\u003e Thomas Müller, Alex Evans, Christoph Schied, Alexander Keller \u003cbr\u003e *ACM Transactions on Graphics (SIGGRAPH) 2022* | [Project page](https://nvlabs.github.io/instant-ngp/) | [Github](https://github.com/NVlabs/instant-ngp)\n\n[TensoRF: Tensorial Radiance Fields](https://arxiv.org/abs/2203.09517) \u003cbr\u003e Anpei Chen, Zexiang Xu, Andreas Geiger, Jingyi Yu, Hao Su \u003cbr\u003e *ECCV 2022* | [Project page](https://apchenstu.github.io/TensoRF/) | [Github](https://github.com/apchenstu/TensoRF) | [Video](https://www.youtube.com/watch?v=ujOMgaKV3lA)\n\n[Point-NeRF: Point-based Neural Radiance Fields](https://arxiv.org/abs/2201.08845) \u003cbr\u003e Qiangeng Xu, Zexiang Xu, Julien Philip, Sai Bi, Zhixin Shu, Kalyan Sunkavalli, Ulrich Neumann \u003cbr\u003e *CVPR 2022* | [Project page](https://xharlie.github.io/projects/project_sites/pointnerf/index.html) | [Github](https://github.com/Xharlie/pointnerf) | [Video](https://www.youtube.com/watch?v=zmR9j-4AebA)\n\n[EfficientNeRF: Efficient Neural Radiance Fields](https://arxiv.org/abs/2206.00878) \u003cbr\u003e Tao Hu, Shu Liu, Yilun Chen, Tiancheng Shen, Jiaya Jia \u003cbr\u003e *CVPR 2022* | [Github](https://github.com/dvlab-research/efficientnerf)\n\n[PREF: Phasorial Embedding Fields for Compact Neural Representations](https://arxiv.org/abs/2205.13524) \u003cbr\u003e Binbin Huang, Xinhao Yan, Anpei Chen, Shenghua Gao, Jingyi Yu \u003cbr\u003e *Arxiv 2022* | [Github](https://github.com/hbb1/PREF)\n\n\n### Improved rendering speed\n\n[R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis](https://arxiv.org/abs/2203.17261) \u003cbr\u003e Huan Wang, Jian Ren, Zeng Huang, Kyle Olszewski, Menglei Chai, Yun Fu, Sergey Tulyakov \u003cbr\u003e *ECCV 2022* | [Project page](https://snap-research.github.io/R2L/) | [Github](https://github.com/snap-research/r2l)\n\n[NeurMiPs: Neural Mixture of Planar Experts for View Synthesis](https://arxiv.org/abs/2204.13696) \u003cbr\u003e Zhi-Hao Lin, Wei-Chiu Ma, Hao-Yu Hsu, Yu-Chiang Frank Wang, Shenlong Wang \u003cbr\u003e *CVPR 2022* | [Project page](https://zhihao-lin.github.io/neurmips/) | [Github](https://github.com/zhihao-lin/neurmips) | [Video](https://www.youtube.com/watch?v=PV1dCTWL5Oo)\n\n[DIVeR: Real-time and Accurate Neural Radiance Fields with Deterministic Integration for Volume Rendering](https://arxiv.org/abs/2111.10427) \u003cbr\u003e Liwen Wu, Jae Yong Lee, Anand Bhattad, Yuxiong Wang, David Forsyth \u003cbr\u003e *CVPR 2022* | [Github](https://github.com/lwwu2/diver) | [Video](https://www.youtube.com/watch?v=jt9sLxc46P8)\n\n[SqueezeNeRF: Further factorized FastNeRF for memory-efficient inference](https://arxiv.org/abs/2204.02585) \u003cbr\u003e Krishna Wadhwani, Tamaki Kojima \u003cbr\u003e *Arxiv 2022*\n\n[Instant Neural Graphics Primitives with a Multiresolution Hash Encoding](https://arxiv.org/abs/2201.05989) \u003cbr\u003e Thomas Müller, Alex Evans, Christoph Schied, Alexander Keller \u003cbr\u003e *ACM Transactions on Graphics (SIGGRAPH) 2022* | [Project page](https://nvlabs.github.io/instant-ngp/) | [Github](https://github.com/NVlabs/instant-ngp)\n\n[Point-NeRF: Point-based Neural Radiance Fields](https://arxiv.org/abs/2201.08845) \u003cbr\u003e Qiangeng Xu, Zexiang Xu, Julien Philip, Sai Bi, Zhixin Shu, Kalyan Sunkavalli, Ulrich Neumann \u003cbr\u003e *CVPR 2022* | [Project page](https://xharlie.github.io/projects/project_sites/pointnerf/index.html) | [Github](https://github.com/Xharlie/pointnerf) | [Video](https://www.youtube.com/watch?v=zmR9j-4AebA)\n\n[EfficientNeRF: Efficient Neural Radiance Fields](https://arxiv.org/abs/2206.00878) \u003cbr\u003e Tao Hu, Shu Liu, Yilun Chen, Tiancheng Shen, Jiaya Jia \u003cbr\u003e *CVPR 2022* | [Github](https://github.com/dvlab-research/efficientnerf)\n\n[PlenOctrees for Real-time Rendering of Neural Radiance Fields](https://arxiv.org/abs/2103.14024) \u003cbr\u003e Alex Yu, Ruilong Li, Matthew Tancik, Hao Li, Ren Ng, Angjoo Kanazawa \u003cbr\u003e *ICCV 2021* | [Project page](https://alexyu.net/plenoctrees/) | [Github](https://github.com/sxyu/volrend) | [Video](https://www.youtube.com/watch?v=obrmH1T5mfI)\n\n[AutoInt: Automatic Integration for Fast Neural Volume Rendering](https://arxiv.org/abs/2012.01714) \u003cbr\u003e David B. Lindell, Julien N. P. Martel, Gordon Wetzstein \u003cbr\u003e *CVPR 2021* | [Project page](http://www.computationalimaging.org/publications/automatic-integration/) | [Github](https://github.com/computational-imaging/automatic-integration) | [Video](https://www.youtube.com/watch?v=GYxFYbih0PU)\n\n[FastNeRF: High-Fidelity Neural Rendering at 200FPS](https://arxiv.org/abs/2103.10380) \u003cbr\u003e Stephan J. Garbin, Marek Kowalski, Matthew Johnson, Jamie Shotton, Julien Valentin \u003cbr\u003e *Arxiv 2021* | [Project page](https://microsoft.github.io/FastNeRF/) | [Video](https://www.youtube.com/watch?v=JS5H-Usiphg)\n\n[NeX: Real-time View Synthesis with Neural Basis Expansion](https://arxiv.org/abs/2103.05606) \u003cbr\u003e Suttisak Wizadwongsa, Pakkapon Phongthawee, Jiraphon Yenphraphai, Supasorn Suwajanakorn \u003cbr\u003e *CVPR 2021* | [Project page](https://nex-mpi.github.io/) | [Github](https://github.com/nex-mpi/nex-code/) | [Video](https://www.youtube.com/watch?v=HyfkF7Z-ddA)\n\n[KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs](https://arxiv.org/abs/2103.13744) \u003cbr\u003e Christian Reiser, Songyou Peng, Yiyi Liao, Andreas Geiger \u003cbr\u003e *Arxiv, 2021* | [Project page](https://creiser.github.io/kilonerf/) | [Github](https://github.com/creiser/kilonerf) | [Video](https://www.youtube.com/watch?v=PNh0LvMpovU)\n\n[Baking Neural Radiance Fields for Real-Time View Synthesis](https://arxiv.org/abs/2103.14645) \u003cbr\u003e Peter Hedman, Pratul P. Srinivasan, Ben Mildenhall, Jonathan T. Barron, Paul Debevec \u003cbr\u003e *ICCV 2021* | [Project page](https://phog.github.io/snerg/) | [Github](https://github.com/google-research/google-research/tree/master/snerg) | [Video](https://www.youtube.com/watch?v=5jKry8n5YO8)\n\n[NeuSample: Neural Sample Field for Efficient View Synthesis](https://arxiv.org/abs/2111.15552) \u003cbr\u003e Jiemin Fang, Lingxi Xie, Xinggang Wang, Xiaopeng Zhang, Wenyu Liu, Qi Tian \u003cbr\u003e *Arxiv 2021*\n\n[Neural Sparse Voxel Fields](https://arxiv.org/abs/2007.11571) \u003cbr\u003e Lingjie Liu, Jiatao Gu, Kyaw Zaw Lin, Tat-Seng Chua, Christian Theobalt \u003cbr\u003e *NeurIPS 2020* | [Project page](https://lingjie0206.github.io/papers/NSVF/) | [Github](https://github.com/facebookresearch/NSVF) | [Video](https://www.youtube.com/watch?v=RFqPwH7QFEI)\n\n\n### Unknown camera poses\n\n[GARF: Gaussian Activated Radiance Fields for High Fidelity Reconstruction and Pose Estimation](https://arxiv.org/abs/2204.05735) \u003cbr\u003e Shin-Fang Chng, Sameera Ramasinghe, Jamie Sherrah, Simon Lucey \u003cbr\u003e *Arxiv 2022* | [Project page](https://sfchng.github.io/garf/) | [Github](https://github.com/sfchng/Gaussian-Activated-Radiance-Fields)\n\n[BARF: Bundle-Adjusting Neural Radiance Fields](https://arxiv.org/abs/2104.06405) \u003cbr\u003e Chen-Hsuan Lin, Wei-Chiu Ma, Antonio Torralba, Simon Lucey \u003cbr\u003e *ICCV 2021* | [Project page](https://chenhsuanlin.bitbucket.io/bundle-adjusting-NeRF/) | [Github](https://github.com/chenhsuanlin/bundle-adjusting-NeRF)\n\n[Self-Calibrating Neural Radiance Fields](https://arxiv.org/abs/2108.13826) \u003cbr\u003e Yoonwoo Jeong, Seokjun Ahn, Christopher Choy, Animashree Anandkumar, Minsu Cho, Jaesik Park \u003cbr\u003e *ICCV 2021* | [Project page](https://postech-cvlab.github.io/SCNeRF/) | [Github](https://github.com/POSTECH-CVLab/SCNeRF) | [Video](https://www.youtube.com/watch?v=wsjx6geduvk)\n\n[GNeRF: GAN-based Neural Radiance Field without Posed Camera](https://arxiv.org/abs/2103.15606) \u003cbr\u003e Quan Meng, Anpei Chen, Haimin Luo, Minye Wu, Hao Su, Lan Xu, Xuming He, Jingyi Yu \u003cbr\u003e *ICCV 2021* | [Github](https://github.com/quan-meng/gnerf)\n\n[NeRF--: Neural Radiance Fields Without Known Camera Parameters](https://arxiv.org/abs/2102.07064) \u003cbr\u003e Zirui Wang, Shangzhe Wu, Weidi Xie, Min Chen, Victor Adrian Prisacariu \u003cbr\u003e *Arxiv 2021* | [Project page](https://nerfmm.active.vision/) | [Github](https://github.com/ActiveVisionLab/nerfmm)\n\n\n### Object pose estimation\n\n[GARF: Gaussian Activated Radiance Fields for High Fidelity Reconstruction and Pose Estimation](https://arxiv.org/abs/2204.05735) \u003cbr\u003e Shin-Fang Chng, Sameera Ramasinghe, Jamie Sherrah, Simon Lucey \u003cbr\u003e *Arxiv 2022* | [Project page](https://sfchng.github.io/garf/) | [Github](https://github.com/sfchng/Gaussian-Activated-Radiance-Fields)\n\n[Nerfels: Renderable Neural Codes for Improved Camera Pose Estimation](https://arxiv.org/abs/2206.01916) \u003cbr\u003e Gil Avraham, Julian Straub, Tianwei Shen, Tsun-Yi Yang, Hugo Germain, Chris Sweeney, Vasileios Balntas, David Novotny, Daniel DeTone, Richard Newcombe \u003cbr\u003e *CVPR 2022*\n\n[NeRF-Pose: A First-Reconstruct-Then-Regress Approach for Weakly-supervised 6D Object Pose Estimation](https://arxiv.org/abs/2203.04802) \u003cbr\u003e Fu Li, Hao Yu, Ivan Shugurov, Benjamin Busam, Shaowu Yang, Slobodan Ilic \u003cbr\u003e *Arxiv 2022*\n\n[INeRF: Inverting Neural Radiance Fields for Pose Estimation](https://arxiv.org/abs/2012.05877) \u003cbr\u003e Lin Yen-Chen, Pete Florence, Jonathan T. Barron, Alberto Rodriguez, Phillip Isola, Tsung-Yi Lin \u003cbr\u003e *IROS 2021* | [Project page](https://yenchenlin.me/inerf/) | [Github](https://github.com/yenchenlin/iNeRF-public) | [Video](https://www.youtube.com/watch?v=eQuCZaQN0tI)\n\n\n### Unbounded, large-scale scenes\n\n[Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields](https://arxiv.org/abs/2111.12077) \u003cbr\u003e Jonathan T. Barron, Ben Mildenhall, Dor Verbin, Pratul P. Srinivasan, Peter Hedman \u003cbr\u003e *CVPR 2022* | [Project page](https://jonbarron.info/mipnerf360/) | [Video](https://www.youtube.com/watch?v=zBSH-k9GbV4)\n\n[Block-NeRF: Scalable Large Scene Neural View Synthesis](https://arxiv.org/abs/2202.05263) \u003cbr\u003e Matthew Tancik, Vincent Casser, Xinchen Yan, Sabeek Pradhan, Ben Mildenhall, Pratul P. Srinivasan, Jonathan T. Barron, Henrik Kretzschmar \u003cbr\u003e *CVPR 2022* | [Project page](https://waymo.com/research/block-nerf/) | [Video](https://www.youtube.com/watch?v=6lGMCAzBzOQ)\n\n[NeRFusion: Fusing Radiance Fields for Large-Scale Scene Reconstruction](https://arxiv.org/abs/2203.11283) \u003cbr\u003e Xiaoshuai Zhang, Sai Bi, Kalyan Sunkavalli, Hao Su, Zexiang Xu \u003cbr\u003e *CVPR 2022* | [Video](https://www.youtube.com/watch?v=BfrYuDv179Y)\n\n[CityNeRF: Building NeRF at City Scale](https://arxiv.org/abs/2112.05504) \u003cbr\u003e Yuanbo Xiangli, Linning Xu, Xingang Pan, Nanxuan Zhao, Anyi Rao, Christian Theobalt, Bo Dai, Dahua Lin \u003cbr\u003e *ECCV 2022* | [Project page](https://city-super.github.io/citynerf/) | [Github](https://github.com/city-super/BungeeNeRF)\n\n[Mega-NeRF: Scalable Construction of Large-Scale NeRFs for Virtual Fly-Throughs](https://arxiv.org/abs/2112.10703) \u003cbr\u003e Haithem Turki, Deva Ramanan, Mahadev Satyanarayanan \u003cbr\u003e *CVPR 2022* | [Project page](https://meganerf.cmusatyalab.org/) | [Github](https://github.com/cmusatyalab/mega-nerf)\n\n[Urban Radiance Fields](https://arxiv.org/abs/2111.14643) \u003cbr\u003e Konstantinos Rematas, Andrew Liu, Pratul P. Srinivasan, Jonathan T. Barron, Andrea Tagliasacchi, Thomas Funkhouser, Vittorio Ferrari \u003cbr\u003e *CVPR 2022* | [Project page](https://urban-radiance-fields.github.io/) | [Video](https://www.youtube.com/watch?v=B973fam8Bag)\n\n\n### Transparent objects\n\n[NeRFReN: Neural Radiance Fields with Reflections](https://arxiv.org/abs/2111.15234) \u003cbr\u003e Yuan-Chen Guo, Di Kang, Linchao Bao, Yu He, Song-Hai Zhang \u003cbr\u003e *Arxiv 2022* | [Project page](https://bennyguo.github.io/nerfren/) | [Video](https://www.youtube.com/watch?v=uZin1Ynk6SM)\n\n[Dex-NeRF: Using a Neural Radiance Field to Grasp Transparent Objects](https://arxiv.org/abs/2110.14217) \u003cbr\u003e Jeffrey Ichnowski, Yahav Avigal, Justin Kerr, Ken Goldberg \u003cbr\u003e *CoRL 2021* | [Project page](https://sites.google.com/view/dex-nerf) | [Unofficial implementation](https://github.com/salykovaa/instant-DexNerf)\n","projects_url":"https://awesome.ecosyste.ms/api/v1/lists/alvin528%2Fawesome-implicit-nerf/projects"}