PyTorch
image-generation
diffusion

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

ImageNet samples generated by PerF

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.

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Dataset used to train ChongWang1024/PerF

Paper for ChongWang1024/PerF