2022
Degradation-Agnostic Correspondence From Resolution-Asymmetric Stereo
CVPR 2022poster
In this paper, we study the problem of stereo matching from a pair of images with different resolutions, e.g., those acquired with a tele-wide camera system. Due to the difficulty of obtaining ground-truth disparity labels in diverse real-world systems, we start from an unsupervised learning perspec…