LadleNet: A Two-Stage UNet for Infrared Image to Visible Image Translation Guided by Semantic Segmentation

arXiv:2308.06603v3 Announce Type: replace-cross
Abstract: The translation of thermal infrared (TIR) images into visible light (VI) images plays a critical role in enhancing model performance and generalization capability, particularly in various fields such as registration and fusion of TIR and VI images. However, current research in this field faces challenges of insufficiently realistic image quality after translation and the difficulty of existing models in adapting to unseen scenarios. In order to develop a more generalizable image translation architecture, we conducted …

abstract arxiv capability cs.cv cs.lg current eess.iv fields fusion however image images light performance registration research role segmentation semantic stage translation type unet