Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
awesome-implicit-nerf
很棒的NeRF和隐式表示项目
https://github.com/alvin528/awesome-implicit-nerf
- pull requests
- Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
- Project page - ngp)
- Neural Fields in Visual Computing and Beyond
- Lecture: Neural Scene Representation, Rendering, and Generation
- Advances in Neural Rendering - Brualla, Stephen Lombardi, Tomas Simon, Christian Theobalt, Matthias Niessner, Jonathan T. Barron, Gordon Wetzstein, Michael Zollhoefer, Vladislav Golyanik <br> *SIGGRAPH 2021* | [Recording: part 1](https://www.youtube.com/watch?v=otly9jcZ0Jg) | [Recording: part 2](https://www.youtube.com/watch?v=aboFl5ozImM)
- Neural Volume Rendering: NeRF And Beyond - Chen <br> *Arxiv 2021*
- Lecture: Implicit Neural Scene Representations
- Seminar: Neural Rendering - ne8) | [Afternoon session](https://www.youtube.com/watch?v=JlyGNvbGKB8)
- Seminar: Why Neural Rendering is Super Cool!
- Lecture: Understanding and Extending Neural Radiance Fields
- NeRF: Neural Radiance Fields (10 min talk)
- NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis (ML Research Paper Explained)
- It’s NeRF From Nothing: Build A Complete NeRF with PyTorch
- Computer Graphics and Deep Learning with NeRF using TensorFlow and Keras - 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/)
- NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
- Instant Neural Graphics Primitives with a Multiresolution Hash Encoding - ngp/) | [Github](https://github.com/NVlabs/instant-ngp)
- TensoRF: Tensorial Radiance Fields
- Point-NeRF: Point-based Neural Radiance Fields - 4AebA)
- EfficientNeRF: Efficient Neural Radiance Fields - research/efficientnerf)
- PREF: Phasorial Embedding Fields for Compact Neural Representations
- R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis - research.github.io/R2L/) | [Github](https://github.com/snap-research/r2l)
- NeurMiPs: Neural Mixture of Planar Experts for View Synthesis - Hao Lin, Wei-Chiu Ma, Hao-Yu Hsu, Yu-Chiang Frank Wang, Shenlong Wang <br> *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)
- DIVeR: Real-time and Accurate Neural Radiance Fields with Deterministic Integration for Volume Rendering
- SqueezeNeRF: Further factorized FastNeRF for memory-efficient inference
- Instant Neural Graphics Primitives with a Multiresolution Hash Encoding - ngp/) | [Github](https://github.com/NVlabs/instant-ngp)
- Point-NeRF: Point-based Neural Radiance Fields - 4AebA)
- EfficientNeRF: Efficient Neural Radiance Fields - research/efficientnerf)
- PlenOctrees for Real-time Rendering of Neural Radiance Fields
- AutoInt: Automatic Integration for Fast Neural Volume Rendering - integration/) | [Github](https://github.com/computational-imaging/automatic-integration) | [Video](https://www.youtube.com/watch?v=GYxFYbih0PU)
- FastNeRF: High-Fidelity Neural Rendering at 200FPS - Usiphg)
- NeX: Real-time View Synthesis with Neural Basis Expansion - mpi.github.io/) | [Github](https://github.com/nex-mpi/nex-code/) | [Video](https://www.youtube.com/watch?v=HyfkF7Z-ddA)
- KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs
- Baking Neural Radiance Fields for Real-Time View Synthesis - research/google-research/tree/master/snerg) | [Video](https://www.youtube.com/watch?v=5jKry8n5YO8)
- NeuSample: Neural Sample Field for Efficient View Synthesis
- Neural Sparse Voxel Fields - Seng Chua, Christian Theobalt <br> *NeurIPS 2020* | [Project page](https://lingjie0206.github.io/papers/NSVF/) | [Github](https://github.com/facebookresearch/NSVF) | [Video](https://www.youtube.com/watch?v=RFqPwH7QFEI)
- GARF: Gaussian Activated Radiance Fields for High Fidelity Reconstruction and Pose Estimation - Fang Chng, Sameera Ramasinghe, Jamie Sherrah, Simon Lucey <br> *Arxiv 2022* | [Project page](https://sfchng.github.io/garf/) | [Github](https://github.com/sfchng/Gaussian-Activated-Radiance-Fields)
- BARF: Bundle-Adjusting Neural Radiance Fields - Hsuan Lin, Wei-Chiu Ma, Antonio Torralba, Simon Lucey <br> *ICCV 2021* | [Project page](https://chenhsuanlin.bitbucket.io/bundle-adjusting-NeRF/) | [Github](https://github.com/chenhsuanlin/bundle-adjusting-NeRF)
- Self-Calibrating Neural Radiance Fields - cvlab.github.io/SCNeRF/) | [Github](https://github.com/POSTECH-CVLab/SCNeRF) | [Video](https://www.youtube.com/watch?v=wsjx6geduvk)
- GNeRF: GAN-based Neural Radiance Field without Posed Camera - meng/gnerf)
- NeRF--: Neural Radiance Fields Without Known Camera Parameters
- GARF: Gaussian Activated Radiance Fields for High Fidelity Reconstruction and Pose Estimation - Fang Chng, Sameera Ramasinghe, Jamie Sherrah, Simon Lucey <br> *Arxiv 2022* | [Project page](https://sfchng.github.io/garf/) | [Github](https://github.com/sfchng/Gaussian-Activated-Radiance-Fields)
- Nerfels: Renderable Neural Codes for Improved Camera Pose Estimation - Yi Yang, Hugo Germain, Chris Sweeney, Vasileios Balntas, David Novotny, Daniel DeTone, Richard Newcombe <br> *CVPR 2022*
- NeRF-Pose: A First-Reconstruct-Then-Regress Approach for Weakly-supervised 6D Object Pose Estimation
- INeRF: Inverting Neural Radiance Fields for Pose Estimation - Chen, Pete Florence, Jonathan T. Barron, Alberto Rodriguez, Phillip Isola, Tsung-Yi Lin <br> *IROS 2021* | [Project page](https://yenchenlin.me/inerf/) | [Github](https://github.com/yenchenlin/iNeRF-public) | [Video](https://www.youtube.com/watch?v=eQuCZaQN0tI)
- Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields - k9GbV4)
- Block-NeRF: Scalable Large Scene Neural View Synthesis - nerf/) | [Video](https://www.youtube.com/watch?v=6lGMCAzBzOQ)
- NeRFusion: Fusing Radiance Fields for Large-Scale Scene Reconstruction
- CityNeRF: Building NeRF at City Scale - super.github.io/citynerf/) | [Github](https://github.com/city-super/BungeeNeRF)
- Mega-NeRF: Scalable Construction of Large-Scale NeRFs for Virtual Fly-Throughs - nerf)
- Urban Radiance Fields - radiance-fields.github.io/) | [Video](https://www.youtube.com/watch?v=B973fam8Bag)
- NeRFReN: Neural Radiance Fields with Reflections - Chen Guo, Di Kang, Linchao Bao, Yu He, Song-Hai Zhang <br> *Arxiv 2022* | [Project page](https://bennyguo.github.io/nerfren/) | [Video](https://www.youtube.com/watch?v=uZin1Ynk6SM)
- Dex-NeRF: Using a Neural Radiance Field to Grasp Transparent Objects - nerf) | [Unofficial implementation](https://github.com/salykovaa/instant-DexNerf)