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Persistence Forcing: Exploiting Feature Specialization in Pixel-Space Diffusion
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image generationfeature specializationdiffusion models
2609.36014
Builder Relevance
1h ago80%
Abstract
The paper introduces a method for heterogeneous refinement in pixel-space diffusion Transformers, enhancing image generation by exploiting feature specialization.
Reality Card
Core Claim
The introduction of Persistence Forcing (PerF) allows for stable global information to guide the refinement of finer visual details, achieving competitive FID scores with fewer parameters.
Method / Result
PerF-L achieves an FID of 1.91 on ImageNet 256x256 with half the parameters of JiT-H.
Limitations
The paper does not specify potential limitations or reproducibility concerns.
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