SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image
Pipeline
Code
Environment
pip install -r requirements.txt
Dataset Preparation
Please download the datasets from these links:
- NeRF synthetic: Download
nerf_synthetic.zipfrom https://drive.google.com/drive/folders/128yBriW1IG_3NJ5Rp7APSTZsJqdJdfc1 - LLFF: Download
nerf_llff_data.zipfrom https://drive.google.com/drive/folders/128yBriW1IG_3NJ5Rp7APSTZsJqdJdfc1 - DTU: Download the preprocessed DTU training data from https://drive.google.com/file/d/1eDjh-_bxKKnEuz5h-HXS7EDJn59clx6V/view
Testing
python eval.py --dataset_name llff --root_dir /dataset/nerf_llff_data/room --N_importance 64 --img_wh 504 378 --model nerf --ckpt_path room.ckpt --timestamp test
Refactoring in progress.
More documentation and training scripts are coming next week!
Acknowledgement
Codebase based on https://github.com/kwea123/nerf_pl . Thanks for sharing!
Citation
If you find this repo is helpful, please cite:
@InProceedings{Xu_2022_SinNeRF,
author = {Xu, Dejia and Jiang, Yifan and Wang, Peihao and Fan, Zhiwen and Shi, Humphrey and Wang, Zhangyang},
title = {SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image},
journal={arXiv preprint arXiv:2204.00928},
year={2022}
}
