4KAgent: Agentic Any Image to 4K Super-Resolution

In this episode, we discuss 4KAgent: Agentic Any Image to 4K Super-Resolution by 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. The paper introduces 4KAgent, a versatile image super-resolution model capable of upscaling any image to 4K resolution across diverse domains and degradation levels. It effectively restores natural scenes, portraits, AI-generated images, and specialized scientific imagery without requiring retraining or domain-specific tuning. This generalist approach demonstrates robust, universal performance in enhancing image quality across varied input types.