---
license: mit
---
Scale Space Diffusion [CVPR 2026]
Soumik Mukhopadhyay*,
Prateksha Udhayanan*,
Abhinav Shrivastava
University of Maryland, College Park
*Equal contribution.
Scale Space Diffusion is a pixel-space diffusion model that integrates scale-space theory by combining Gaussian noise with linear degradations (downsampling). It introduces Flexi-UNet for resolution-aware denoising.
This model release accompanies the official implementation of **Scale Space Diffusion**.
## Model Details
The released checkpoints include SSD models trained on CelebA and ImageNet:
- CelebA-64: 2L and 4L Flexi-UNet checkpoints
- CelebA-128: 3L and 5L Flexi-UNet checkpoints
- CelebA-256: 3L and 6L Flexi-UNet checkpoints
- ImageNet-64: 2L Flexi-UNet checkpoint
## Citation
```
@article{mukhopadhyay2026scale,
title={Scale Space Diffusion},
author={Mukhopadhyay, Soumik and Udhayanan, Prateksha and Shrivastava, Abhinav},
journal={arXiv preprint arXiv:2603.08709},
year={2026}
}
```
