This repository provides the official implementation of CREStereo, a deep learning model for stereo matching that estimates depth from binocular image pairs. The model uses a cascaded recurrent architecture with adaptive correlation layers to progressively refine disparity predictions. It includes training code, pre-trained models, and supports evaluation on standard stereo benchmarks including SceneFlow, KITTI, and Middlebury.