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A curated list of awesome neural radiance fields for dynamic scenes

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Dynamic NeRF

1. Datasets

Custom Data Preparation

Synthetic

Real

2. My Notebooks

  • Robust Dynamic Radiance Fields, Liu et. al., CVPR, 2023. [Kaggle]

3. Papers

2024

  • Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesis, Luiten et. al., International Conference on 3D Vision (3DV), 2024. [Paper | Project Page | Code | Explanation Video]
  • DaReNeRF: Direction-aware Representation for Dynamic Scenes, CVPR 2024
  • DynPoint: Dynamic Neural Point For View Synthesis, NeurIPS 2024.
  • Sync-NeRF: Generalizing Dynamic NeRFs to Unsynchronized Videos, AAAI2024. [Code]
  • SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenes. [Code]
  • InstantSplat: Unbounded Sparse-view Pose-free Gaussian Splatting in 40 Seconds, Project
  • GaussianFlow: Splatting Gaussian Dynamics for 4D Content Creation
  • Entity-NeRF: Detecting and Removing Moving Entities in Urban Scenes, CVPR 2024. Project
  • Ced-NeRF: A Compact and Efficient Method for Dynamic Neural Radiance Fields, AAAI 2024. Paper

2023

  • DynIBaR: Neural Dynamic Image-Based Rendering, CVPR, 2023 [Project Page]
  • Tensor4D : Efficient Neural 4D Decomposition for High-fidelity Dynamic Reconstruction and Rendering, Shao et. al., CVPR, 2023. [Paper | Code]
  • HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Sampling, CVPR 2023 (Highlight). Code
  • HexPlane: A Fast Representation for Dynamic Scenes, Cao et. al., CVPR, 2023. [Paper | Project Page | Code]
  • Robust Dynamic Radiance Fields, Liu et. al., CVPR, 2023. [Code | Kaggle]
  • V4D: Voxel for 4D Novel View Synthesis, Gan et. al., IEEE Transactions on Visualization and Computer Graphics, 2023. [Paper | Code] (instructions for custom data)
  • Dynamic Mesh-Aware Radiance Fields, ICCV, 2023. [Project Page | Code]
  • NeRFPlayer: A Streamable Dynamic Scene Representation with Decomposed Neural Radiance Fields, IEEE Transactions on Visualization and Computer Graphics, vol 29(5), 2023. [Code]
  • Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction, Yang et. al., ACM Transactions on Graphics, 2023. [Paper | Project Page | Code]
  • V4d: Voxel for 4d novel view synthesis, Gan et. al., IEEE Transactions on Visualization and Computer Graphics, 2023. [Code]
  • MixVoxels: Mixed Neural Voxels for Fast Multi-view Video Synthesis, ICCV2023 Oral. Code

2022

  • Fourier PlenOctrees for Dynamic Radiance Field Rendering in Real-time, CVPR 2022 [Project Page]
  • D2NeRF: Self-Supervised Decoupling of Dynamic and Static Objects from a Monocular Video, NeurIPS, 2022. [Project Page | Code]
  • Monocular Dynamic View Synthesis: A Reality Check, Gao et. al., Neurips 2022. [Project Page]
  • TiNeuVox: Fast Dynamic Radiance Fields with Time-Aware Neural Voxels, Fang et. al., ACM SIGGRAPH Asia 2022. [Project Page | Code]

2021

  • Nerfies: Deformable Neural Radiance Fields, ICCV, 2021. [Code] (instructions for custom data, this is the one everyone refering to)
  • Dynamic View Synthesis from Dynamic Monocular Video, ICCV, 2021. [Code]
  • HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields, ACM Trans. Graph, 2021. [Code | Project Page | Colab] (instructions for custom data)
  • BARF: Bundle-Adjusting Neural Radiance Fields, Lin et. al., ICCV 2021 (Oral). [Code]

2020

  • D-NeRF: Neural Radiance Fields for Dynamic Scenes, Pumarola et. al, CVPR 2020. [Project Page | Code]

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