Photo-Realistic Image Restoration in the Wild with Controlled
Vision-Language Models
Photo-Realistic Image Restoration in the Wild with Controlled
Vision-Language Models
Though diffusion models have been successfully applied to various image restoration (IR) tasks, their performance is sensitive to the choice of training datasets. Typically, diffusion models trained in specific datasets fail to recover images that have out-of-distribution degradations. To address this problem, this work leverages a capable vision-language model and …