PyTorch Implementation of NVIDIA's Instant-NGP
@article{mueller2022instant,
author = {Thomas M\"uller and Alex Evans and Christoph Schied and Alexander Keller},
title = {Instant Neural Graphics Primitives with a Multiresolution Hash Encoding},
journal = {ACM Trans. Graph.},
issue_date = {July 2022},
volume = {41},
number = {4},
month = jul,
year = {2022},
pages = {102:1--102:15},
articleno = {102},
numpages = {15},
url = {https://doi.org/10.1145/3528223.3530127},
doi = {10.1145/3528223.3530127},
publisher = {ACM},
address = {New York, NY, USA},
}
- Python 3.7
- Pytorch witch cuda (tested with 1.12.1)
- opencv
- imageio
- shutil
- tqdm
- nerfacc
PyTorch-InstantNGP> main.py --config_path nerf_config.yaml
Download Lego Nerf dataset from here
PyTorch-InstantNGP> main.py --config_path image_config.yaml
All settings in config yaml file.