Awesome
DIVeR: Real-time CUDA Application
This repo contains the code for the real-time application of DIVeR implemented in Python+CUDA.
Setup
- python 3.8
- pytorch 1.9.0
- moderngl
- moderngl-window
Pre-trained model
We have two versions of pre-trained models trained on nerf_synthetic dataset.
The 128 model runs much faster with smaller storage cost, but the 256 model has better rendering quality.
Usage
To launch the real-time application, run:
python run.py --weight_path=PATH_TO_WEIGHT_FILE \
--voxel_num=VOXEL_GRID_SIZE \
--device=GPU_DEVICE
Resources
Citation
@misc{wu2021diver,
title={DIVeR: Real-time and Accurate Neural Radiance Fields with Deterministic Integration for Volume Rendering},
author={Liwen Wu and Jae Yong Lee and Anand Bhattad and Yuxiong Wang and David Forsyth},
year={2021},
eprint={2111.10427},
archivePrefix={arXiv},
primaryClass={cs.CV}
}