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tags:
- flow-matching
- pixel-diffusion
- pixel-generation
datasets:
- ILSVRC/imagenet-1k
license: apache-2.0
---
# Asymmetric Flow Models
Pixel-space flow models trained on ImageNet using the AsymFlow method proposed in the paper:
**Asymmetric Flow Models**
<br>
arXiv 2026
<br>
[Hansheng Chen](https://lakonik.github.io/),
[Jan Ackermann](https://janackermann.info/),
[Minseo Kim](https://soniaminseokim.github.io/),
[Gordon Wetzstein](http://web.stanford.edu/~gordonwz/),
[Leonidas Guibas](https://geometry.stanford.edu/?member=guibas)<br>
Stanford University
<br>
[Project Page](https://hanshengchen.com/asymflow) | [arXiv](https://arxiv.org/abs/2605.12964) | [Code](https://github.com/Lakonik/LakonLab/blob/main/docs/AsymFlow.md) | [AsymFLUX.2 klein Demo🤗](https://huggingface.co/spaces/Lakonik/AsymFLUX.2-klein)
## Citation
```
@article{chen2026asymmetric,
title={Asymmetric Flow Models},
author={Hansheng Chen and Jan Ackermann and Minseo Kim and Gordon Wetzstein and Leonidas Guibas},
journal={arXiv preprint arXiv:2605.12964},
url={https://arxiv.org/abs/2605.12964},
year={2026},
}
``` |