A PyTorch implementation of Neural Radiance Fields (NeRF) for reproduction of results whilst running at a faster speed

NeRF (Neural Radiance Fields) is a method for achieving outcomes for synthesizing novel views of complex scenes. Posted below are a few videos generated by this project.

This project is a PyTorch implementation of NeRF that reproduces the results while running approximately 1.3x faster. The code is based on the TensorFlow implementation here of the author. PyTorch has been used for numerical testing and validation of the same.

Installation

git clone https://github.com/yenchenlin/nerf-pytorch.git
cd nerf-pytorch
pip install -r requirements.txt
cd torchsearchsorted
pip install .
cd ../