Author

Hao Zhou

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Preprint Sep 2026

Delving into Asymmetric Information Dynamics for High-Fidelity Virtual Try-On

Virtual try-on (VTON) requires precise pixel-level fidelity, yet mainstream Diffusion Transformers (DiTs) often suffer from texture degradation and structural drift. We identify symmetric interactions in standard joint-attention mechanisms as a source of these failures. Although such interactions support semantic flexi...

Zi-Shu Qin, Zhi-Yu Jin, Pi-Pei Huang et al. · 0 citations

#artificial intelligence Preprint Aug 2026

RAGDiffusion++: From Macro-Retrieval to Micro-Fidelity Alignment for Garment Generation

This work formally identifies this limitation as High-Frequency Trajectory Collapse: supervised fine-tuning converges to the conditional mean of the training distribution, which is dominated by smooth, low-frequency textures, causing high-frequency patterns to become nearly un-sampleable.

Yuhan Li, Xianfeng Tan, Fan-Gao Zeng et al. · 0 citations

#computer vision Preprint Aug 2026

RL-Native Distillation: Exploiting Scored Trajectories for Few-Step Image Generation

This work proposes REST (Reward-Enhanced Scored-Trajectory Distillation), a single-stage RL-distillation co-training framework that attaches a decoupled student to an arbitrary RL teacher that enables few-step CFG-free inference that matches or surpasses its 40-step RL teacher, with an overall additional training cost...

Yuhan Li, Fan-Gao Zeng, Sicong Kang et al. · 0 citations