NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning
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Updated
Aug 3, 2023 - Jupyter Notebook
NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning
Code release for Local Light Field Fusion at SIGGRAPH 2019
State-of-the-art, simple, fast unbounded / large-scale NeRFs.
Code accompanying the SIGGRAPH 2018 paper "Stereo Magnification: Learning View Synthesis using Multiplane Images"
Hybrid Neural Fusion for Full-frame Video Stabilization
Neural Factorization of Shape and Reflectance Under an Unknown Illumination
AAAI2023,implementation of "READ: Large-Scale Neural Scene Rendering for Autonomous Driving", the experimental results are significantly better than Nerf-based methods
Collecting papers about new view synthesis
An unofficial Unity port of the MobileNeRF viewer
Implementation of DynIBaR Neural Dynamic Image-Based Rendering (CVPR 2023)
Tensorflow implementation of Neural Scene Representation and Rendering
Neural Light Transport for Relighting and View Synthesis
An official TensorFlow implementation of "Multi-view to Novel view: Synthesizing novel views with Self-Learned Confidence" (ECCV 2018) by Shao-Hua Sun, Minyoung Huh, Yuan-Hong Liao, Ning Zhang, and Joseph J. Lim
Neural Scene Flow Fields using pytorch-lightning, with potential improvements
TiNeuVox: Fast Dynamic Radiance Fields with Time-Aware Neural Voxels (SIGGRAPH Asia 2022)
Code accompanying the paper "Spherical View Synthesis for Self-Supervised 360 Depth Estimation", 3DV 2019
IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation (CVPR 2022)
[ECCV 2022] Relighting4D: Neural Relightable Human from Videos
DepthSplat: Connecting Gaussian Splatting and Depth
NeRF Meta-Learning with PyTorch
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