Icon 4 K A g e n t :

Agentic Any Image to 4K Super-Resolution

Yushen Zuo1, Qi Zheng1+, Mingyang Wu1+, Xinrui Jiang2+, Renjie Li1,
Jian Wang3, Yide Zhang4, Gengchen Mai5, Lihong V. Wang6, James Zou2,
Xiaoyu Wang7, Ming-Hsuan Yang8, Zhengzhong Tu1*
1Texas A&M University    2Stanford University    3Snap Inc.    4CU Boulder
   5UT Austin    6California Institute of Technology    7Topaz Labs    8UC Merced
+Indicates Equal Contribution
*Corresponding Author
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We present 4KAgent, an agentic image super-resolution generalist designed to universally upscale any image to 4K resolution, regardless of input type, degradation level, or domain. That is, 4KAgent effectively restores diverse imagery, spanning from natural scenes, severely degraded captures (e.g., old photos), human/pet portraits, AI-generated content (AIGC), as well as specialized scientific imaging domains, such as remote sensing, fluorescence microscopy, pathology, and various medical modalities like X-ray, ultrasound, and funduscopy --- all without the need for any re-training or domain-specific adaptation.

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Natural Images
AIGC Images
Scientific Imagery

BibTeX

@misc{zuo20254kagentagenticimage4k,
      title={4KAgent: Agentic Any Image to 4K Super-Resolution}, 
      author={Yushen Zuo and Qi Zheng and Mingyang Wu and Xinrui Jiang and Renjie Li and Jian Wang and Yide Zhang and Gengchen Mai and Lihong V. Wang and James Zou and Xiaoyu Wang and Ming-Hsuan Yang and Zhengzhong Tu},
      year={2025},
      eprint={2507.07105},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2507.07105}, 
}