Author

Shi-Hong Li

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Preprint Sep 2026

ToPO: Token-Oriented Preference Optimization for Text-to-Image Diffusion Models

Diffusion models have achieved remarkable success in text-to-image generation, yet aligning their outputs with human preferences remains challenging. Diffusion-DPO learns from image preference pairs, but their global labels do not specify how supervision should be allocated across spatial locations and denoising timest...

Jun-Tao Xu, Shi-Hong Li, Ho-Yin Au et al. · 1 citation

#artificial intelligence Preprint Sep 2026

DART: Distillation-Aware Reparameterization for Training-Free LoRA Reuse in Few-Step Video Diffusion Models

DART is proposed, a training-free reparameterization method that transports source LoRAs into aligned coordinates through a low-rank distillation bridge and complements response calibration, with adapter-level benefits encompassing both functional preservation and reduced negative transfer.

Shi-Hong Li, Jun-Tao Xu, Cao Jin et al. · 1 citation

#diffusion models Preprint Sep 2026

ToPO: Token-Conditioned Preference Routing for Attention-Based Latent Diffusion Models

ToPO (Token-Oriented Preference Optimization) constructs a per-minibatch, detached, separable spatial-temporal route from branchwise squared-residual contrast in a frozen reference denoiser for attention-based, noise-prediction latent diffusion.

Jun-Tao Xu, Shi-Hong Li, Ho-Yin Au et al. · 1 citation