Zhengling Wu

GS-ASM: 2DGS-Supervised Active Stereo Matching

Due to the lack of ground truth, existing methods of active stereo matching generally employ fully self-supervised learning to produce precise depth estimates. Although they can achieve promising results, their performance still has a noticeable gap compared with supervised models. To fill this gap,