Paper Detail
Yihan Wang, Jia Deng
We introduce WAFT-Stereo, a simple and effective warping-based method for stereo matching. WAFT-Stereo demonstrates that cost volumes, a common design used in many leading methods, are not necessary for strong performance and can be replaced by warping with improved efficiency. WAFT-Stereo ranks first on ETH3D, KITTI and Middlebury public benchmarks, reducing the zero-shot error by 81% on ETH3D benchmark, while being 1.8-6.7x faster than competitive methods. Code and model weights are available at https://github.com/princeton-vl/WAFT-Stereo.
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@misc{wang2026waft,
title = {WAFT-Stereo: Warping-Alone Field Transforms for Stereo Matching},
author = {Yihan Wang and Jia Deng},
year = {2026},
abstract = {We introduce WAFT-Stereo, a simple and effective warping-based method for stereo matching. WAFT-Stereo demonstrates that cost volumes, a common design used in many leading methods, are not necessary for strong performance and can be replaced by warping with improved efficiency. WAFT-Stereo ranks first on ETH3D, KITTI and Middlebury public benchmarks, reducing the zero-shot error by 81\% on ETH3D benchmark, while being 1.8-6.7x faster than competitive methods. Code and model weights are available },
url = {https://huggingface.co/papers/2603.24836},
keywords = {stereo matching, cost volumes, warping, ETH3D, KITTI, Middlebury, code available, huggingface daily},
eprint = {2603.24836},
archiveprefix = {arXiv},
}
{}