DiTo shifts token reduction in DiTs to output token similarity, reusing prior-step matches across timesteps with PMR scheduling and frequency-aware penalties to raise PSNR at given speedups.
arXiv preprint arXiv:2401.04585 (2024),https: //arxiv.org/abs/2401.04585
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Rethinking Token Reduction for Diffusion Models via Output-Similarity-Awareness
DiTo shifts token reduction in DiTs to output token similarity, reusing prior-step matches across timesteps with PMR scheduling and frequency-aware penalties to raise PSNR at given speedups.