---
license: mit
---
# Aesthetic-4K Dataset

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:
* [Diffusion-4K: Ultra-High-Resolution Image Synthesis with Latent Diffusion Models](https://arxiv.org/abs/2503.18352) (CVPR 2025)
* Source code is available at [https://github.com/zhang0jhon/diffusion-4k](https://github.com/zhang0jhon/diffusion-4k).



## Citation

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={Jinjin Zhang, Qiuyu Huang, Junjie Liu, Xiefan Guo and Di Huang},
    year={2025},
    booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
}
```