Improving Handwritten OCR with Training Samples Generated by Glyph Conditional Denoising Diffusion Probabilistic Model. - Haisong Ding; Bozhi Luan; Dongnan Gui; Kai Chen 001; Qiang Huo (ICDAR (4), 2023)

Zero-shot Generation of Training Data with Denoising Diffusion Probabilistic Model for Handwritten Chinese Character Recognition. - Dongnan Gui; Kai Chen 001; Haisong Ding; Qiang Huo (ICDAR (2), 2023)

GlyphControl: Glyph Conditional Control for Visual Text Generation. - Yukang Yang; Dongnan Gui; Yuhui Yuan; Weicong Liang; Haisong Ding; Han Hu 001; Kai Chen 001 (NeurIPS, 2023)

GlyphControl: Glyph Conditional Control for Visual Text Generation. - Yukang Yang; Dongnan Gui; Yuhui Yuan; Haisong Ding; Han Hu 001; Kai Chen 001 (CoRR, 2023)

I2VGuard: Safeguarding Images against Misuse in Diffusion-based Image-to-Video Models. - Dongnan Gui; Xun Guo; Wengang Zhou 001; Yan Lu 001 (CVPR, 2025)

MPO: An Efficient Post-Processing Framework for Mixing Diverse Preference Alignment. - Tianze Wang; Dongnan Gui; Yifan Hu; Shuhang Lin; Linjun Zhang (CoRR, 2025)