293-lighting-up-nerf-via-unsupervised-decomposition-and-enhancement
Science Score: 18.0%
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✓CITATION.cff file
Found CITATION.cff file -
○codemeta.json file
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○.zenodo.json file
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○Academic publication links
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○Scientific vocabulary similarity
Low similarity (9.2%) to scientific vocabulary
Last synced: 10 months ago
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Repository
Basic Info
- Host: GitHub
- Owner: SZU-AdvTech-2023
- License: mit
- Language: Python
- Default Branch: main
- Size: 2.04 MB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 2 years ago
· Last pushed over 2 years ago
Metadata Files
Citation
https://github.com/SZU-AdvTech-2023/293-Lighting-up-NeRF-via-Unsupervised-Decomposition-and-Enhancement/blob/main/
## How to run
1. **Setup the environment:** We provide the exported conda yaml file `environment.yml`. Please make sure you installed `conda` and run:
```shell
conda env create -f environment.yml
conda activate llnerf
```
Note that this repo requires `jax` and `flax`. We use `cuda 11.7` and `cudnn 8.2`. If you need to set up the Python environment with a different version of cuda+cudnn, we suggest you manually install jax, jaxlib, and flax to ensure compatibility with your cuda environment. Please refer to their official documentation for installation instructions. If you encounter any issues during the jax installation, please consult their official documentation for troubleshooting.
2. **Download the dataset:** dataset is [here](https://drive.google.com/drive/folders/1h-u8DkvuaIvcHZihYIWcqwpURiM32_u3?usp=sharing). Please download and unzip it.
3. **Training:** Please modify `scripts/train.sh` first by replacing the dataset path and scene name with yours, and run `bash scripts/train.sh`.
4. **Rendering:** Please modify `scripts/render.sh` first by replacing the dataset path and scene name with yours, and run `bash scripts/render.sh`.
## Cite This Paper
```bibtex
@inproceedings{wang2023lighting,
title={Lighting up NeRF via Unsupervised Decomposition and Enhancement},
author={Haoyuan Wang, Xiaogang Xu, Ke Xu, and Rynson W.H. Lau},
booktitle={ICCV},
year={2023}
}
```
Owner
- Name: SZU-AdvTech-2023
- Login: SZU-AdvTech-2023
- Kind: organization
- Repositories: 1
- Profile: https://github.com/SZU-AdvTech-2023
Citation (citation.txt)
@inproceedings{REPO293,
author = "Wang, Haoyuan and Xu, Xiaogang and Xu, Ke and Lau, Rynson WH",
booktitle = "Proceedings of the IEEE/CVF International Conference on Computer Vision",
pages = "12632--12641",
title = "{Lighting up NeRF via Unsupervised Decomposition and Enhancement}",
year = "2023"
}