In this episode, we discuss
A Preliminary Study for GPT-4o on Image Restoration by Hao Yang, Yan Yang, Ruikun Zhang, Liyuan Pan. This paper presents the first comprehensive evaluation of OpenAI’s GPT-4o model on various image restoration tasks, revealing that while its outputs are visually appealing, they often lack pixel-level structural accuracy. The authors demonstrate that GPT-4o can effectively serve as a visual prior to improve existing restoration networks in tasks like dehazing, deraining, and low-light enhancement. They also provide practical guidelines and release a dataset of GPT-4o-restored images to support future research in image restoration.
