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
• Papers
• Talks
• Implementations

Survey

• BeyondPixels: A Comprehensive Review of the Evolution of Neural Radiance Fields, AKM Shahariar Azad Rabby and Chengcui Zhang, Arxiv 2023 | bibtex
• Neural Volume Rendering: NeRF And Beyond, Dellaert and Yen-Chen, Arxiv 2020 | blog | github | bibtex
• NeRF: Neural Radiance Field in 3D Vision, Introduction and Review, Kyle Gao, Yina Gao, Hongjie He, Dening Lu, Linlin Xu, Jonathan Li

Papers

• NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis, Mildenhall et al., ECCV 2020 | github | bibtex <!---Mildenhall20eccv_nerf-->

<details open> <summary>Faster Inference</summary>

• Learning Neural Transmittance for Efficient Rendering of Reflectance Fields, Mohammad Shafiei et al., BMVC 2021 | bibtex
• Neural Sparse Voxel Fields, Liu et al., NeurIPS 2020 | github | bibtex <!---Liu20neurips_sparse_nerf-->
• AutoInt: Automatic Integration for Fast Neural Volume Rendering, Lindell et al., CVPR 2021 | github | bibtex <!---Lindell20arxiv_AutoInt-->
• DeRF: Decomposed Radiance Fields, Rebain et al. Arxiv 2020 | bibtex <!---Rebain20arxiv_derf-->
• DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networks, Neff et al., CGF 2021 | github | bibtex <!---neff2021donerf-->
• FastNeRF: High-Fidelity Neural Rendering at 200FPS, Garbin et al., Arxiv 2021 | bibtex <!---Garbin21arxiv_FastNeRF-->
• KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs , Reiser et al., ICCV 2021 | github | bibtex <!---reiser2021kilonerf-->
• PlenOctrees for Real-time Rendering of Neural Radiance Fields, Yu et al., Arxiv 2021 | github | bibtex <!---yu2021plenoctrees-->
• Mixture of Volumetric Primitives for Efficient Neural Rendering, Lombardi et al., SIGGRAPH 2021 | bibtex
• Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering, Sitzmann et al., Arxiv 2021 | github | bibtex
• RT-NeRF: Real-Time On-Device Neural Radiance Fields Towards Immersive AR/VR Rendering, Li et al., ICCAD 2022 | bibtex
• ENeRF: Efficient Neural Radiance Fields for Interactive Free-viewpoint Video, Lin et al., SIGGRAPH 2022 | github | bibtex
• R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis, Wang et al., ECCV 2022 | github | bibtex <!---wang2022r2l-->
• Real-Time Neural Light Field on Mobile Devices, Cao et al., Arxiv 2022 | github | bibtext <!---cao2022mobiler2l-->
• Hardware Acceleration of Neural Graphics, Mubarik et al., ISCA 2023 | bibtext <!---mubarik2023hardware-->
• DyLiN: Making Light Field Networks Dynamic, Yu et al., CVPR 2023 | github | bibtext <!---yu2023dylin-->

</details> <details open> <summary>Faster Training</summary>

• Depth-supervised NeRF: Fewer Views and Faster Training for Free, Deng et al., Arxiv 2021 | github | bibtex
• Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction, Sun et al., CVPR 2022 | github | bibtex <!---sun2021direct-->
• Instant Neural Graphics Primitives with a Multiresolution Hash Encoding, Müller et al., SIGGRAPH 2022 | github | bibtex
• Plenoxels Radiance Fields without Neural Networks, Yu et al., CVPR 2022 | github | bibtex
• TensoRF: Tensorial Radiance Fields, Chen et al., ECCV 2022 | github | bibtex
• BakedSDF: Meshing Neural SDFs for Real-Time View Synthesis, Yariv et al., Arxiv 2023 | bibtex
• Lightning NeRF: Efficient Hybrid Scene Representation for Autonomous Driving, Cao et al. ICRA 2024 | github | bibtex

</details> <details open> <summary>Compression</summary>

• Variable Bitrate Neural Fields, Takikawa et al., SIGGRAPH 2022 | github | bibtex

</details> <details open> <summary>Unconstrained Images</summary>

• NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections, Martin-Brualla et al., CVPR 2021 | bibtex <!---MartinBrualla20arxiv_nerfw-->
• Ha-NeRF:laughing:: Hallucinated Neural Radiance Fields in the Wild, Chen et al., CVPR 2022 | github | bibtex <!---chen2021hallucinated-->
• HDR-Plenoxels: Self-Calibrating High Dynamic Range Radiance Fields, Jun-seong et al., ECCV 2022 | github | bibtex <!---Jun-seong2022hdr-plenoxels-->
• UP-NeRF: Unconstrained Pose-Prior-Free Neural Radiance Fields, In-jae et al., NeurIPS 2023 | github | bibtex <!---kim2023upnerf-->

</details> <details open> <summary>Deformable</summary>

• Deformable Neural Radiance Fields, Park et al., Arxiv 2020 | github | bibtex <!---Park20arxiv_nerfies-->
• D-NeRF: Neural Radiance Fields for Dynamic Scenes, Pumarola et al., CVPR 2021 | github | bibtex <!---Pumarola20arxiv_D_NeRF-->
• Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction, Gafni et al., CVPR 2021 | github | 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-->
• PVA: Pixel-aligned Volumetric Avatars, Raj et al., CVPR 2021 | bibtex
• Neural Articulated Radiance Field, Noguchi et al., Arxiv 2021 | github | bibtex
• CLA-NeRF: Category-Level Articulated Neural Radiance Field, Tseng et al., ICRA 2022 | bibtex
• Animatable Neural Radiance Fields for Modeling Dynamic Human Bodies, Peng et al., ICCV 2021 | github | bibtex <!---Peng21arxiv_animatable_nerf-->
• A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields, Park et al., Arxiv 2021 | github | bibtex
• IBRNet: Learning Multi-View Image-Based Rendering, Wang et al., CVPR 2021 | github | bibtex
• Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes, Li et al., CVPR 2021 | github | bibtex <!---Li20arxiv_nsff-->
• Animatable Neural Radiance Fields from Monocular RGB Videos, Chen et al., Arxiv 2021 | github | bibtex
• Neural Actor: Neural Free-view Synthesis of Human Actors with Pose Control, Liu et al., SIGGRAPH Asia 2021 | bibtex
• TiNeuVox: Fast Dynamic Radiance Fields with Time-Aware Neural Voxels, Fang et al., SIGGRAPH Asia 2022 | github | bibtex
• HumanNeRF: Free-viewpoint Rendering of Moving People from Monocular Video, Weng et al., CVPR 2022 | github | bibtex
• AligNeRF: High-Fidelity Neural Radiance Fields via Alignment-Aware Training, Jiang et al., CVPR 2023 | bibtex
• DynIBaR: Neural Dynamic Image-Based Rendering, Li et al., CVPR 2023 | bibtex

</details> <details open> <summary>Video</summary>

• BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects, Wen et al., CVPR 2023 | github | bibtex
• [Neural Scene Flow Fields for Space-Time View Synthesis of