Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation
Paper
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2506.01331
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Published
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We introduce Aesthetic-4K, a high-quality dataset for ultra-high-resolution image generation, featuring carefully selected images and captions generated by GPT-4o. Additionally, we have meticulously filtered out low-quality images through manual inspection, excluding those with motion blur, focus issues, or mismatched text prompts.
For more details, please refer to our paper:
If you find our paper or dataset is helpful in your research or applications, generously cite with:
@inproceedings{zhang2025diffusion4k,
title={Diffusion-4K: Ultra-High-Resolution Image Synthesis with Latent Diffusion Models},
author={Zhang, Jinjin and Huang, Qiuyu and Liu, Junjie and Guo, Xiefan and Huang, Di},
year={2025},
booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
}
@misc{zhang2025ultrahighresolutionimagesynthesis,
title={Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation},
author={Zhang, Jinjin and Huang, Qiuyu and Liu, Junjie and Guo, Xiefan and Huang, Di},
year={2025},
note={arXiv:2506.01331},
}