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A Preliminary Study for GPT-4o on Image Restoration

Hao Yang, Yan Yang, Ruikun Zhang, Liyuan Pan

2025-05-12

A Preliminary Study for GPT-4o on Image Restoration

Summary

This paper talks about how GPT-4o, a powerful AI model, can help improve the quality of images by making them look better, especially for tasks like removing haze, rain, or fixing dark photos.

What's the problem?

The problem is that while GPT-4o can create images that look nice, it sometimes doesn't keep the original structure or details of the image, which is important for truly fixing or restoring photos.

What's the solution?

The researchers found that even though GPT-4o isn't perfect at restoring every detail, it can be used as a starting point, or a 'visual prior,' to help other image restoration methods do a better job at clearing up haze, rain, or improving low-light pictures.

Why it matters?

This matters because it shows that AI like GPT-4o can be useful in making photos clearer and more visually appealing, which is helpful for photography, security cameras, or any situation where you need to fix poor-quality images.

Abstract

GPT-4o, while generating visually appealing images, often lacks structural fidelity and serves as a visual prior to enhance dehazing, derainning, and low-light enhancement tasks in image restoration.