WAFT-Stereo：基于纯形变场变换的立体匹配方法

WAFT-Stereo: Warping-Alone Field Transforms for Stereo Matching

March 25, 2026

作者: Yihan Wang, Jia Deng

cs.AI

摘要

我们提出WAFT-Stereo，一种基于形变操作的简易高效立体匹配方法。该方法证明，成本体积这一主流方法常用设计并非实现优越性能的必要条件，通过形变操作替代可显著提升效率。WAFT-Stereo在ETH3D、KITTI和Middlebury公开基准测试中均位列第一，在ETH3D基准上实现零样本误差降低81%，同时运算速度比竞品方法提升1.8-6.7倍。代码与模型权重已开源：https://github.com/princeton-vl/WAFT-Stereo。

English

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.