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Xiao-Hong Liu

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Preprint Aug 2026

STEP-OPD: Rethinking Output Targets and Internal Dynamics in On-Policy Distillation for Diffusion Models

STEP-OPD is proposed, an on-policy distillation framework for image generation that extends the student's learning target beyond the teacher and introduces explicit constraints on its internal representation evolution, showing that output extrapolation enables beyond-teacher learning.

Qing-Yan Wei, Guang-Zhao Li, Xiao-Bing Tu et al. · 1 citation
Jul 2026

Rarity-Aware Discrete Diffusion with Spatially Consistent Decoding for Photo-Realistic Image Super-Resolution

DiMOO-SR is proposed, a rarity-aware multimodal discrete diffusion framework for photo-realistic image SR that achieves competitive perceptual quality with only a few parallel decoding steps, highlighting the potential of discrete diffusion for generative image super-resolution.

Ao Li, Yapeng Du, Yi Xin et al. · 0 citations

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