awesome-NeRF
A curated list of awesome neural radiance fields papers
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A curated list of awesome neural radiance fields papers
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- Host: gitlab.com
- Owner: mingzailao
- Default Branch: main
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Created over 5 years ago
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README.md
Awesome Neural Radiance Fields 
A curated list of awesome neural radiance fields papers, inspired by awesome-computer-vision.
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Table of Contents
Survey
- Neural Volume Rendering: NeRF And Beyond, Dellaert and Yen-Chen, Arxiv 2020 | blog | github
Papers
- NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis, Mildenhall et al., ECCV 2020 | github | bibtex <!---Mildenhall20eccv_nerf-->
- NeRF++: Analyzing and Improving Neural Radiance Fields, Zhang et al., Arxiv 2020 | github | bibtex <!---Zhang20arxiv_nerf++-->
- DeRF: Decomposed Radiance Fields, Rebain et al. Arxiv 2020 | bibtex <!---Rebain20arxiv_derf-->
- NeRD: Neural Reflectance Decomposition from Image Collections, Boss et al., Arxiv 2020 | github | bibtex <!---Boss20arxiv_NeRD-->
- NeRF--: Neural Radiance Fields Without Known Camera Parameters, Wang et al., Arxiv 2021 | github | bibtex <!---Wang21arxiv_nerfmm-->
- Mixture of Volumetric Primitives for Efficient Neural Rendering, Lombardi et al., Arxiv 2021 | bibtex
Faster Inference
- Neural Sparse Voxel Fields, Liu et al., NeurIPS 2020 | github | bibtex <!---Liu20neuripssparsenerf-->
- AutoInt: Automatic Integration for Fast Neural Volume Rendering, Lindell et al., Arxiv 2020 | bibtex <!---Lindell20arxiv_AutoInt-->
- DONeRF: Towards Real-Time Rendering of Neural Radiance Fields using Depth Oracle Networks, Neff et al., Arxiv 2021 | bibtex <!---neff2021donerf-->
Unconstrained Images
- NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections, Martin-Brualla et al., Arxiv 2020 | bibtex <!---MartinBrualla20arxiv_nerfw-->
Deformable
- Deformable Neural Radiance Fields, Park et al., Arxiv 2020 | github | bibtex <!---Park20arxiv_nerfies-->
- D-NeRF: Neural Radiance Fields for Dynamic Scenes, Pumarola et al., Arxiv 2020 | bibtex <!---Pumarola20arxivDNeRF-->
- Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction, Gafni et al., Arxiv 2020 | bibtex <!---Gafni20arxiv_DNRF-->
- Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Deforming Scene from Monocular Video, Tretschk et al., Arxiv 2020 | github | bibtex <!---Tretschk20arxiv_NR-NeRF-->
Video
- Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes, Li et al., Arxiv 2020 | github | bibtex <!---Li20arxiv_nsff-->
- Space-time Neural Irradiance Fields for Free-Viewpoint Video, Xian et al., Arxiv 2020 | bibtex <!---Xian20arxiv_stnif-->
- Neural Radiance Flow for 4D View Synthesis and Video Processing, Du et al., Arxiv 2020 | bibtex <!---Du20arxiv_nerflow-->
- Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans, Peng et al., Arxiv 2020 | bibtex <!---Peng20arxiv_neuralbody-->
- Neural 3D Video Synthesis, Li et al., Arxiv 2021 | bibtex
Generalization
- GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis, Schwarz et al., NeurIPS 2020 | github | bibtex <!---Schwarz20neurips_graf-->
- GRF: Learning a General Radiance Field for 3D Scene Representation and Rendering, Trevithick and Yang, Arxiv 2020 | github | bibtex <!---Trevithick20arxiv_GRF-->
- pixelNeRF: Neural Radiance Fields from One or Few Images, Yu et al., Arxiv 2020 | github | bibtex <!---Yu20arxiv_pixelNeRF-->
- Learned Initializations for Optimizing Coordinate-Based Neural Representations, Tancik et al., Arxiv 2020 | github | bibtex <!---Tancik20arxiv_meta-->
- pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis, Chan et al., Arxiv 2020 | bibtex <!---Chan20arxiv_piGAN-->
- Portrait Neural Radiance Fields from a Single Image, Gao et al., Arxiv 2020 | bibtex <!---Gao20arxiv_pNeRF-->
- 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
- PVA: Pixel-aligned Volumetric Avatars, Raj et al., Arxiv 2021 | bibtex
Pose Estimation
- iNeRF: Inverting Neural Radiance Fields for Pose Estimation, Yen-Chen et al. Arxiv 2020 | bibtex <!---YenChen20arxiv_iNeRF-->
- A-NeRF: Surface-free Human 3D Pose Refinement via Neural Rendering, Su et al. Arxiv 2021 | bibtex <!---Su21arxivANeRF-->
Lighting
- NeRV: Neural Reflectance and Visibility Fields for Relighting and View Synthesis, Srinivasan et al. Arxiv 2020 | bibtex <!---Srinivasan20arxiv_NeRV-->
Compositionality
- GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields, Niemeyer et al., Arxiv 2020, bibtex <!---Niemeyer20arxiv_GIRAFFE-->
- Object-Centric Neural Scene Rendering, Guo et al., Arxiv 2020 | bibtex <!---Guo20arxiv_OSF-->
- Learning Compositional Radiance Fields of Dynamic Human Heads, Wang et al., Arxiv 2020 | bibtex <!---Wang20arxivhybridNeRF-->
- Neural Scene Graphs for Dynamic Scenes, Ost et al., Arxiv 2020 | bibtex <!---Ost20arxiv_NeuralSceneGraphs-->
Talks
- 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
Implementations
Tensorflow
PyTorch
- NeRF-PyTorch, Yen-Chen Lin, 2020 | bibtex
- NeRF-PyTorch-Lighting, @kwea123, 2020
- NeRF-W, @kwea123, 2021
Jax
License
MIT
Owner
- Name: mingzailao
- Login: mingzailao
- Kind: user
- Location: Dalian, China
- Website: mingzailao.bitcron.com
- Repositories: 83
- Profile: https://gitlab.com/mingzailao
Citation (citations/3d-video.txt)
@misc{li2021neural,
title={Neural 3D Video Synthesis},
author={Tianye Li and Mira Slavcheva and Michael Zollhoefer and Simon Green and Christoph Lassner and Changil Kim and Tanner Schmidt and Steven Lovegrove and Michael Goesele and Zhaoyang Lv},
year={2021},
eprint={2103.02597},
archivePrefix={arXiv},
primaryClass={cs.CV}
}