Scaling Up Image Restoration: Achieving Photo-Realistic Results with Large-Scale Generative Models and Multimodal Guidance

The core message of this paper is that by scaling up the generative model and training data, and incorporating multimodal textual guidance, the authors have developed a powerful image restoration method called SUPIR that can achieve exceptional photo-realistic results, especially on complex real-world scenarios.