Official source code of paper Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching, arxiv
- python 3.6
- Pytorch == 1.2 (The default interpolation of the high version is different from the low version, which will cause the results to be different)
- CUDA >= 9.0
pip install -r requirements.txt --user
install apex to enable synchronized batch normalization
git clone https://github.com/NVIDIA/apex.git
cd apex
pip install -v --no-cache-dir --global-option="--cpp_ext" --global-option="--cuda_ext" ./
Refer to MVS-README.md
Refer to Stereo-Matching-README.md
If you find this code useful in your research, please cite:
@inproceedings{gu2020cascade,
title={Cascade cost volume for high-resolution multi-view stereo and stereo matching},
author={Gu, Xiaodong and Fan, Zhiwen and Zhu, Siyu and Dai, Zuozhuo and Tan, Feitong and Tan, Ping},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
pages={2495--2504},
year={2020}
}
Thanks to Xiaoyang Guo for opening source of his excellent works GwcNet and MVSNet-pytorch. Thanks to Yao Yao for opening source of his excellent work MVSNet.