Self-Supervised Video Desmoking for Laparoscopic Surgery

arXiv:2403.11192v1 Announce Type: new
Abstract: Due to the difficulty of collecting real paired data, most existing desmoking methods train the models by synthesizing smoke, generalizing poorly to real surgical scenarios. Although a few works have explored single-image real-world desmoking in unpaired learning manners, they still encounter challenges in handling dense smoke. In this work, we address these issues together by introducing the self-supervised surgery video desmoking (SelfSVD). On the one hand, we observe that the frame captured before the activation …

arxiv cs.cv surgery type video