A curated list of awesome neural radiance fields papers, inspired by awesome-computer-vision.
If you are interested in adding papers, feel free to submit a pull request following the instruction here.
- Neural Volume Rendering: NeRF And Beyond, Dellaert and Yen-Chen, Arxiv 2020 | blog | github
- NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis, Mildenhall et al., ECCV 2020 | github | bibtex
- NeRF++: Analyzing and Improving Neural Radiance Fields, Zhang et al., Arxiv 2020 | github | bibtex
- DeRF: Decomposed Radiance Fields, Rebain et al. Arxiv 2020 | bibtex
- NeRD: Neural Reflectance Decomposition from Image Collections, Boss et al., Arxiv 2020 | github | bibtex
- NeRF--: Neural Radiance Fields Without Known Camera Parameters, Wang et al., Arxiv 2021 | github | bibtex
- Neural Sparse Voxel Fields, Liu et al., NeurIPS 2020 | github | bibtex
- AutoInt: Automatic Integration for Fast Neural Volume Rendering, Lindell et al., Arxiv 2020 | bibtex
- NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections, Martin-Brualla et al., Arxiv 2020 | bibtex
- Deformable Neural Radiance Fields, Park et al., Arxiv 2020 | github | bibtex
- D-NeRF: Neural Radiance Fields for Dynamic Scenes, Pumarola et al., Arxiv 2020 | bibtex
- Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction, Gafni et al., Arxiv 2020 | bibtex
- Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Deforming Scene from Monocular Video, Tretschk et al., Arxiv 2020 | github | bibtex
- Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes, Li et al., Arxiv 2020 | bibtex
- Space-time Neural Irradiance Fields for Free-Viewpoint Video, Xian et al., Arxiv 2020 | bibtex
- Neural Radiance Flow for 4D View Synthesis and Video Processing, Du et al., Arxiv 2020 | bibtex
- Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans, Peng et al., Arxiv 2020 | bibtex
- GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis, Schwarz et al., NeurIPS 2020 | github | bibtex
- GRF: Learning a General Radiance Field for 3D Scene Representation and Rendering, Trevithick and Yang, Arxiv 2020 | github | bibtex
- pixelNeRF: Neural Radiance Fields from One or Few Images, Yu et al., Arxiv 2020 | github | bibtex
- Learned Initializations for Optimizing Coordinate-Based Neural Representations, Tancik et al., Arxiv 2020 | github | bibtex
- pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis, Chan et al., Arxiv 2020 | bibtex
- Portrait Neural Radiance Fields from a Single Image, Gao et al., Arxiv 2020 | bibtex
- ShaRF: Shape-conditioned Radiance Fields from a Single View, Rematas et al., Arxiv 2021 | bibtex
- IBRNet: Learning Multi-View Image-Based Rendering, Wang et al., Arxiv 2021 | bibtex
- iNeRF: Inverting Neural Radiance Fields for Pose Estimation, Yen-Chen et al. Arxiv 2020 | bibtex
- A-NeRF: Surface-free Human 3D Pose Refinement via Neural Rendering, Su et al. Arxiv 2021 | bibtex
- NeRV: Neural Reflectance and Visibility Fields for Relighting and View Synthesis, Srinivasan et al. Arxiv 2020 | bibtex
- GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields, Niemeyer et al., Arxiv 2020, bibtex
- Object-Centric Neural Scene Rendering, Guo et al., Arxiv 2020 | bibtex
- Learning Compositional Radiance Fields of Dynamic Human Heads, Wang et al., Arxiv 2020 | bibtex
- NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis, Ben Mildenhall
- Understanding and Extending Neural Radiance Fields, Barron et al.
- Towards Photorealism (2nd half), Vladlen Koltun
- Neural Radiance Fields for View Synthesis, Matthew Tancik
- NeRF-PyTorch, Yen-Chen Lin, 2020 | bibtex
- NeRF-PyTorch-Lighting, @kwea123, 2020
- NeRF-W, @kwea123, 2021
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