A curated list of awesome neural radiance fields papers, inspired by awesome-computer-vision.
- NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis, Mildenhall et al., ECCV 2020 | github | bibtex
Faster Inference
- 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
- Real-Time Neural Light Field on Mobile Devices, Cao et al., Arxiv 2022 | github | bibtext
- Hardware Acceleration of Neural Graphics, Mubarik et al., ISCA 2023 | bibtext
- DyLiN: Making Light Field Networks Dynamic, Yu et al., CVPR 2023 | github | bibtext
Faster Training
- Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction, Sun et al., CVPR 2022 | github | bibtex
- 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
Compression
- Variable Bitrate Neural Fields, Takikawa et al., SIGGRAPH 2022 | github | bibtex
Unconstrained Images
- [Ha-NeRF:laughing:: Hallucinated Neural Radiance Fields in the Wild](https://rover-xingyu.github.io/Ha-NeRF/), Chen et al., CVPR 2022 | [github](https://github.com/rover-xingyu/Ha-NeRF) | [bibtex](./citations/Ha-NeRF.txt) - [HDR-Plenoxels: Self-Calibrating High Dynamic Range Radiance Fields](https://hdr-plenoxels.github.io/), Jun-seong et al., ECCV 2022 | [github](https://github.com/postech-ami/HDR-Plenoxels) | [bibtex](./citations/hdr-plenoxels.txt) - [UP-NeRF: Unconstrained Pose-Prior-Free Neural Radiance Fields](https://mlvlab.github.io/upnerf/), In-jae et al., NeurIPS 2023 | [github](https://github.com/mlvlab/UP-NeRF) | [bibtex](./citations/upnerf.txt)Deformable
- CLA-NeRF: Category-Level Articulated Neural Radiance Field, Tseng et al., ICRA 2022 | bibtex
- TiNeuVox: Fast Dynamic Radiance Fields with Time-Aware Neural Voxels, Fang et al., SIGGRAPH Asia 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
Video
- Neural 3D Video Synthesis from Multi-view Video, Li et al., CVPR 2022 | bibtex
- Streaming Radiance Fields for 3D Video Synthesis Li et al. NeurIPS 2022 | github | bibtex
Generalization
- Point-NeRF: Point-based Neural Radiance Fields, Xu et al., CVPR 2022 | github | bibtex
- SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image, Xu et al., ECCV 2022 | github | bibtex
- Rodin: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion, Wang et al., CVPR 2023 | github | bibtex
- SurfelNeRF: Neural Surfel Radiance Fields for Online Photorealistic Reconstruction of Indoor Scenes, Gao et al., CVPR 2023 | github | bibtex
- NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes, Irshad et al., ICCV 2023 | github | bibtex
- X-NeRF: Explicit Neural Radiance Field for Multi-Scene 360° Insufficient RGB-D Views, Zhu et al., WACV 2023 | github | bibtex
- UFORecon: Generalizable Sparse-View Surface Reconstruction from Arbitrary and Unfavorable Sets, Na et al., CVPR 2024 | github | bibtex
- 🏡Know Your Neighbors: Improving Single-View Reconstruction via Spatial Vision-Language Reasoning, Li et al., CVPR 2024 | github | bibtex
Pose Estimation
- DFNet: Enhance Absolute Pose Regression with Direct Feature Matching, Chen et al., ECCV 2022 | github | bibtex
- GARF: Gaussian Activated Radiance Fields for High Fidelity Reconstruction and Pose Estimation, Chng et al., ECCV 2022 | bibtex
- L2G-NeRF: Local-to-Global Registration for Bundle-Adjusting Neural Radiance Fields, Chen et al., CVPR 2023 | github | bibtex
- NoPe-NeRF: Optimising Neural Radiance Field with No Pose Prior, Bian et al., CVPR 2023 | github | bibtex
- Loc-NeRF: Monte Carlo Localization using Neural Radiance Fields, Maggio et al., ICRA 2023 | github | bibtex
- Robust Camera Pose Refinement for Multi-Resolution Hash Encoding, Heo et al., ICML 2023 | bibtex
- CROSSFIRE: Camera Relocalization On Self-Supervised Features from an Implicit Representation, Moreau et al., ICCV 2023 | bibtex
- PoRF: Pose Residual Field for Accurate Neural Surface Reconstruction, Bian et al., ICLR 2024 | github | bibtex
- Neural Refinement for Absolute Pose Regression with Feature Synthesis, Chen et al., CVPR 2024 | github | bibtex
Lighting
- KiloNeuS: Implicit Neural Representations with Real-Time Global Illumination, Esposito et al., Arxiv 2022 | bibtex
Compositionality
- Unsupervised Discovery of Object Radiance Fields, Yu et al., ICLR 2022 | github | bibtex
- Unsupervised Discovery and Composition of Object Light Fields, Smith et al., TMLR 2023 | github | bibtex
- Learning Object-centric Neural Scattering Functions for Free-viewpoint Relighting and Scene Composition, Yu et al., TMLR 2023 | github | bibtex
Scene Labelling and Understanding
- NeRF-SOS: Any-view Self-supervised Object Segmentation on Complex Real-world Scenes, Fan et al., ICLR 2023 | bibtex
- Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion, Bhalgat et al., NeurIPS 2023 (Spotlight) | bibtex
Multi-scale
- Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields, Barron et al., Arxiv 2022 | bibtex
Model Reconstruction
- NeAT: Learning Neural Implicit Surfaces with Arbitrary Topologies from Multi-view Images, Meng et al., CVPR 2023 | github | bibtex
Robotics
- Vision-Only Robot Navigation in a Neural Radiance World, Adamkiewicz et al., RA-L 2022 Vol.7 No.2 | bibtex
- Differentiable Physics Simulation of Dynamics-Augmented Neural Objects, Le Cleac'h et al., RA-L 2023 | bibtex
- Customizable Perturbation Synthesis for Robust SLAM Benchmarking, Xu et al., ArXiv 2024 | bibtex
Large-scale scene
- Switch-NeRF: Learning Scene Decomposition with Mixture of Experts for Large-scale Neural Radiance Fields, Mi et al., ICLR 2023 | github | bibtex
- Block-NeRF: Scalable Large Scene Neural View Synthesis, Tancik et al., Arxiv 2022 | bibtex
Pre-training
- Ponder: Point Cloud Pre-training via Neural Rendering, Huang et al., ICCV 2023 | bibtex
- PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigm, Zhu et al., Arxiv 2023 | github | bibtex
- UniPAD: A Universal Pre-training Paradigm for Autonomous Driving, Yang et al., Arxiv 2023 | github | bibtex
- NeRF, Mildenhall et al., 2020 | bibtex
- Nerual-Radiance-Fields, @ariG23498, @ritwik_raha, 2022
- NeRF-PyTorch, Yen-Chen Lin, 2020 | bibtex
- NeRF-PyTorch-Lighting, @kwea123, 2020
- NeRF-W, @kwea123, 2021
- NeRF-PyTorch3D, @facebookresearch, 2020
- JaxNeRF, Deng et al., 2020 | bibtex
- Mip-NeRF, @google, 2021 | bibtex
- [Jax + Flax] Minimal Implementation of NeRF, @soumikrakshit, @sauravmaheshkar, 2022
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