metadata
license: mit
datasets:
- ILSVRC/imagenet-1k
tags:
- image-generation
- diffusion
- pytorch
Persistence Forcing: Exploiting Feature Specialization in Pixel-Space Diffusion
Paper: arXiv:2609.36014
Project Page: chongwang1024.github.io/PerF
Code Repository: github.com/ChongWang1024/PerF
PerF exploits the persistent–active feature organization that emerges under heterogeneous refinement. Persistent-to-Active Conditioning lets persistent features guide active refinement, while Persistence Guidance strengthens their contribution during sampling.
ImageNet Samples
Checkpoints
Official pretrained checkpoints for ImageNet generation:
| Resolution | Model | Checkpoint |
|---|---|---|
| 256x256 | PerF-B/16 | checkpoint-last.pth |
| 256x256 | PerF-L/16 | checkpoint-last.pth |
| 256x256 | PerF-H/16 | checkpoint-last.pth |
| 512x512 | PerF-H/32 | checkpoint-last.pth |
Usage
Download a checkpoint with:
hf download ChongWang1024/PerF \
perf-b16-256/checkpoint-last.pth \
--local-dir .
For evaluation commands and training instructions, see the code repository.