4KAgent: Agentic Any Image to 4K Super-Resolution
Yushen Zuo, Qi Zheng, Mingyang Wu, Xinrui Jiang, Renjie Li, Jian Wang, Yide Zhang, Gengchen Mai, Lihong V. Wang, James Zou, Xiaoyu Wang, Ming-Hsuan Yang, Zhengzhong Tu
2025-07-10
Summary
This paper talks about 4KAgent, a smart system that can take low-quality, blurry images and improve them to super high-quality 4K resolution. It uses different parts that analyze the image, figure out how to enhance it, and then restore the details.
What's the problem?
The problem is that many existing image enhancement methods struggle to improve images to very high resolutions like 4K while keeping details clear across different types of images such as photos, videos, or artwork.
What's the solution?
The researchers designed 4KAgent with three main components: one that profiles or understands the image type, one that perceives what needs improvement, and one that restores the image details. This combination allows the system to adapt to many image types and produce very clear, sharp results.
Why it matters?
This matters because improving images to 4K helps in entertainment, medical imaging, security, and more, providing clearer visuals that help people see details better and make better decisions based on high-quality images.
Abstract
4KAgent, a unified agentic super-resolution system, enhances low-resolution images to 4K using a profiling module, perception agent, and restoration agent, achieving state-of-the-art performance across various imaging domains.