| license: mit | |
| datasets: | |
| - ILSVRC/imagenet-1k | |
| tags: | |
| - image-generation | |
| - diffusion | |
| - pytorch | |
| # Persistence Forcing: Exploiting Feature Specialization in Pixel-Space Diffusion | |
| **Paper:** [arXiv:2609.36014](https://arxiv.org/abs/2609.36014) | |
| **Project Page:** [chongwang1024.github.io/PerF](https://chongwang1024.github.io/PerF/) | |
| **Code Repository:** [github.com/ChongWang1024/PerF](https://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](./perf-b16-256/checkpoint-last.pth) | | |
| | 256x256 | PerF-L/16 | [checkpoint-last.pth](./perf-l16-256/checkpoint-last.pth) | | |
| | 256x256 | PerF-H/16 | [checkpoint-last.pth](./perf-h16-256/checkpoint-last.pth) | | |
| | 512x512 | PerF-H/32 | [checkpoint-last.pth](./perf-h32-512/checkpoint-last.pth) | | |
| ## Usage | |
| Download a checkpoint with: | |
| ```bash | |
| hf download ChongWang1024/PerF \ | |
| perf-b16-256/checkpoint-last.pth \ | |
| --local-dir . | |
| ``` | |
| For evaluation commands and training instructions, see the [code repository](https://github.com/ChongWang1024/PerF). |