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# Persistence Guidance

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  1. arXiv

    PerF makes pixel-space diffusion Transformers specialize by feature: FID on ImageNet 256 drops from 1.86 to 1.63 with about 3.6% more parameters

    The work introduces heterogeneous refinement, giving different feature groups distinct refinement budgets across depth in pixel-space diffusion Transformers, which spontaneously yields persistent features that encode global structure and active features that encode high-frequency detail; building on this, Persistence Forcing (PerF) and Persistence Guidance (PG) reduce FID on ImageNet 256 from 3.66, 2.36, and 1.86 to 2.81, 1.91, and 1.63 for JiT-B/L/H, and on ImageNet 512 from 1.94 to 1.76 for JiT-H/32.

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