Prepare FoundationStereo Dataset
August 3, 2025 · View on GitHub
FoundationStereo dataset is a large-scale (1M stereo pairs) synthetic training dataset featuring large diversity and high photorealism. Dataset can be downloaded at the following website: https://drive.google.com/drive/folders/1YdC2a0_KTZ9xix_HyqNMPCrClpm0-XFU?usp=sharing
The directory structure should be:
foundationstereo
└───amr_v5-b2_chaos_2500_1
| └───dataset
| | └───data
| | └───left
| | └───rgb
| | └───disparity
| | └───right
| | └───rgb
...
Optionally you can write your own txt file and use all the parts of the dataset.
@inproceedings{wen2025stereo,
title={FoundationStereo: Zero-Shot Stereo Matching},
author={Bowen Wen and Matthew Trepte and Joseph Aribido and Jan Kautz and Orazio Gallo and Stan Birchfield},
journal={CVPR},
year={2025}
}