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Neural Radiance Fields (NeRF) are a rapidly growing area of research with wide-ranging applications in computer vision, graphics, robotics, and more.
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Neural sparse voxel fields
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nerf-pytorch: A PyTorch re-implementation
Krishna Murthy. 2020 · 2020
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Nerf_pl: a pytorchlightning implementation of NeRF
Chen Quei-An. 2020 · 2020
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Accelerating 3d deep learning with pytorch3d
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Kornia: an open source differentiable computer vision library for pytorch. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision . 3674–3683
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NeRF-pytorch
Lin Yen-Chen. 2020 · 2020
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Vision-Only Robot Navigation in a Neural Radiance World
Michal Adamkiewicz, Timothy Chen, Adam Caccavale, Rachel Gardner, Preston Culbertson, Jeannette Bohg, and Mac Schwager. 2021 · 2021
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Mip-nerf: A multiscale representation for anti-aliasing neural radiance fields. In Proceedings of the IEEE/CVF International Conference on Computer Vision . 5855–5864
Jonathan T Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, and Pratul P Srinivasan. 2021 · 2021
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FastNeRF: High-Fidelity Neural Rendering at 200FPS. In 2021 IEEE/CVF International Conference on Computer Vision (ICCV) . IEEE Computer Society, Los Alamitos, CA, USA, 14326–14335
S. J. Garbin, M. Kowalski, M. Johnson, J. Shotton, and J. Valentin. 2021 · 2021
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Baking Neural Radiance Fields for Real-Time View Synthesis
Peter Hedman, Pratul P. Srinivasan, Ben Mildenhall, Jonathan T. Barron, and Paul Debevec. 2021 · 2021
Cited alongside, same era.
Barf: Bundle-adjusting neural radiance fields. In Proceedings of the IEEE/CVF International Conference on Computer Vision . 5741–5751
Chen-Hsuan Lin, Wei-Chiu Ma, Antonio Torralba, and Simon Lucey. 2021 · 2021
Cited alongside, same era.
Nerf in the wild: Neural radiance fields for unconstrained photo collections. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 7210–7219
Ricardo Martin-Brualla, Noha Radwan, Mehdi SM Sajjadi, Jonathan T Barron, Alexey Dosovitskiy, and Daniel Duckworth. 2021 · 2021
Cited alongside, same era.
Nerf: Representing scenes as neural radiance fields for view synthesis
Ben Mildenhall, Pratul P Srinivasan, Matthew Tancik, Jonathan T Barron, Ravi Ramamoorthi, and Ren Ng. 2021 · 2021
Cited alongside, same era.
tiny-cuda-nn
Thomas Müller. 2021 · 2021
Cited alongside, same era.
NeRF-Factory: An awesome PyTorch NeRF collection
Yoonwoo Jeong, Seungjoo Shin, and Kibaek Park. 2022 · 2022
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Evo-NeRF: Evolving NeRF for Sequential Robot Grasping of Transparent Objects. In 6th Annual Conference on Robot Learning
Justin Kerr, Letian Fu, Huang Huang, Yahav Avigal, Matthew Tancik, Jeffrey Ichnowski, Angjoo Kanazawa, and Ken Goldberg. 2022 · 2022
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NerfAcc: A General NeRF Accleration Toolbox
Ruilong Li, Matthew Tancik, and Angjoo Kanazawa. 2022 · 2022
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Instant neural graphics primitives with a multiresolution hash encoding
Thomas Müller, Alex Evans, Christoph Schied, and Alexander Keller. 2022 · 2022
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The One Where They Reconstructed 3D Humans and Environments in TV Shows. In European Conference on Computer Vision . Springer, 732–749
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DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networks
Thomas Neff, Pascal Stadlbauer, Mathias Parger, Andreas Kurz, Joerg H. Mueller, Chakravarty R. Alla Chaitanya, Anton S. Kaplanyan, and Markus Steinberger. 2021 · 2021
Cited alongside, same era.
Unisurf: Unifying neural implicit surfaces and radiance fields for multi-view reconstruction. In Proceedings of the IEEE/CVF International Conference on Computer Vision . 5589–5599
Michael Oechsle, Songyou Peng, and Andreas Geiger. 2021 · 2021
Cited alongside, same era.
D-nerf: Neural radiance fields for dynamic scenes. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 10318–10327
Albert Pumarola, Enric Corona, Gerard Pons-Moll, and Francesc Moreno-Noguer. 2021 · 2021
Cited alongside, same era.
KiloNeRF: Speeding Up Neural Radiance Fields With Thousands of Tiny MLPs. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) . 14335–14345
Christian Reiser, Songyou Peng, Yiyi Liao, and Andreas Geiger. 2021 · 2021
Cited alongside, same era.
Neus: Learning neural implicit surfaces by volume rendering for multi-view reconstruction
Peng Wang, Lingjie Liu, Yuan Liu, Christian Theobalt, Taku Komura, and Wenping Wang. 2021a · 2021
Cited alongside, same era.
NeRF–: Neural radiance fields without known camera parameters
Zirui Wang, Shangzhe Wu, Weidi Xie, Min Chen, and Victor Adrian Prisacariu. 2021c · 2021
Cited alongside, same era.
Volume rendering of neural implicit surfaces
Lior Yariv, Jiatao Gu, Yoni Kasten, and Yaron Lipman. 2021 · 2021
Cited alongside, same era.
Georgios Pavlakos, Ethan Weber, Matthew Tancik, and Angjoo Kanazawa. 2022 · 2022
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NeAT: Neural Adaptive Tomography
Darius Rückert, Yuanhao Wang, Rui Li, Ramzi Idoughi, and Wolfgang Heidrich. 2022 · 2022
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Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation. In ICRA . 6394–6400
Anthony Simeonov, Yilun Du, Andrea Tagliasacchi, Joshua B. Tenenbaum, Alberto Rodriguez, Pulkit Agrawal, and Vincent Sitzmann. 2022 · 2022
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Direct voxel grid optimization: Super-fast convergence for radiance fields reconstruction. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 5459–5469
Cheng Sun, Min Sun, and Hwann-Tzong Chen. 2022 · 2022
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Kaolin Wisp: A PyTorch Library and Engine for Neural Fields Research
Towaki Takikawa, Or Perel, Clement Fuji Tsang, Charles Loop, Joey Litalien, Jonathan Tremblay, Sanja Fidler, and Maria Shugrina. 2022 · 2022
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Block-NeRF: Scalable Large Scene Neural View Synthesis
Matthew Tancik, Vincent Casser, Xinchen Yan, Sabeek Pradhan, Ben Mildenhall, Pratul Srinivasan, Jonathan T. Barron, and Henrik Kretzschmar. 2022 · 2022
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Ref-nerf: Structured view-dependent appearance for neural radiance fields. In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) . IEEE, 5481–5490
Dor Verbin, Peter Hedman, Ben Mildenhall, Todd Zickler, Jonathan T Barron, and Pratul P Srinivasan. 2022 · 2022
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Clip-nerf: Text-and-image driven manipulation of neural radiance fields. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 3835–3844
Can Wang, Menglei Chai, Mingming He, Dongdong Chen, and Jing Liao. 2022 · 2022
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Creating workflows for NeRF Portraiture
Katherine Watson, Alexandre Devaux, Niko Koppel, A.J. Chavar, and Peter Whidden. 2022 · 2022
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Neural fields in visual computing and beyond. In Computer Graphics Forum , Vol. 41. Wiley Online Library, 641–676
Yiheng Xie, Towaki Takikawa, Shunsuke Saito, Or Litany, Shiqin Yan, Numair Khan, Federico Tombari, James Tompkin, Vincent Sitzmann, and Srinath Sridhar. 2022 · 2022
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SDFStudio: A Unified Framework for Surface Reconstruction
Zehao Yu, Anpei Chen, Bozidar Antic, Songyou Peng, Apratim Bhattacharyya, Michael Niemeyer, Siyu Tanga, Torsten Sattler, and Andreas Geiger. 2022 · 2022
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ArcNerf: Nerf-based object/scene rendering and extraction framework
Yan-Pei Cao Yue Luo. 2022 · 2022
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Arf: Artistic radiance fields. In Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part XXXI . Springer, 717–733
Kai Zhang, Nick Kolkin, Sai Bi, Fujun Luan, Zexiang Xu, Eli Shechtman, and Noah Snavely. 2022 · 2022
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NICE-SLAM: Neural Implicit Scalable Encoding for SLAM. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Zihan Zhu, Songyou Peng, Viktor Larsson, Weiwei Xu, Hujun Bao, Zhaopeng Cui, Martin R. Oswald, and Marc Pollefeys. 2022 · 2022
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DreamFusion: Text-to-3D using 2D Diffusion. In The Eleventh International Conference on Learning Representations
Ben Poole, Ajay Jain, Jonathan T. Barron, and Ben Mildenhall. 2023 · 2023
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