Shiyan Du — accepted AI-conference papers

2026

DEIG: Detail-Enhanced Instance Generation with Fine-Grained Semantic Control

Shiyan Du, Conghan Yue, Xinyu Cheng, Dongyu Zhang

AAAI 2026technical

Multi-Instance Generation has advanced significantly in spatial placement and attribute binding. However, existing approaches still face challenges in fine-grained semantic understanding, particularly when dealing with complex textual descriptions.To overcome these limitations, we propose DEIG, a no

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2024

Image Restoration Through Generalized Ornstein-Uhlenbeck Bridge

Conghan Yue, Zhengwei Peng, Junlong Ma, Shiyan Du, Pengxu Wei, Dongyu Zhang

ICML 2024poster

Diffusion models exhibit powerful generative capabilities enabling noise mapping to data via reverse stochastic differential equations. However, in image restoration, the focus is on the mapping relationship from low-quality to high-quality images. Regarding this issue, we introduce the Generalized…

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