cs.CV

SMFormer: Empowering Self-supervised Stereo Matching via Foundation Models and Data Augmentation

arXiv:2604.10218v1 Announce Type: new
Abstract: Recent self-supervised stereo matching methods have made significant progress. They typically rely on the photometric consistency assumption, which presumes corresponding points across views share the sa…