Denoising Diffusion Models for Plug-and-Play Image Restoration. - Yuanzhi Zhu 001; Kai Zhang 008; Jingyun Liang; Jiezhang Cao; Bihan Wen; Radu Timofte; Luc Van Gool (CVPR Workshops, 2023)

DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion. - Zixiang Zhao; Haowen Bai; Yuanzhi Zhu 001; Jiangshe Zhang 001; Shuang Xu; Yulun Zhang 001; Kai Zhang 008; Deyu Meng; Radu Timofte; Luc Van Gool (ICCV, 2023)

Pre-trained Diffusion Models for Plug-and-Play Medical Image Enhancement. - Jun Ma; Yuanzhi Zhu 001; Chenyu You; Bo Wang (MICCAI (3), 2023)

SlimFlow: Training Smaller One-Step Diffusion Models with Rectified Flow. - Yuanzhi Zhu 001; Xingchao Liu; Qiang Liu 001 (ECCV (82), 2024)

Accelerating Video Diffusion Models via Distribution Matching. - Yuanzhi Zhu 001; Hanshu Yan; Huan Yang 005; Kai Zhang 008; Junnan Li (CoRR, 2024)

OFTSR: One-Step Flow for Image Super-Resolution with Tunable Fidelity-Realism Trade-offs. - Yuanzhi Zhu 001; Ruiqing Wang; Shilin Lu; Junnan Li; Hanshu Yan; Kai Zhang 008 (CoRR, 2024)

Generalizable Single-Source Cross-Modality Medical Image Segmentation via Invariant Causal Mechanisms. - Boqi Chen; Yuanzhi Zhu 001; Yunke Ao; Sebastiano Caprara; Reto Sutter; Gunnar Rätsch; Ender Konukoglu; Anna Susmelj (WACV, 2025)

Di[M]O: Distilling Masked Diffusion Models into One-step Generator. - Yuanzhi Zhu 001; Xi Wang 024; Stéphane Lathuilière; Vicky Kalogeiton (CoRR, 2025)

Bridging Continuous and Discrete Tokens for Autoregressive Visual Generation. - Yuqing Wang; Zhijie Lin 001; Yao Teng; Yuanzhi Zhu 001; Shuhuai Ren; Jiashi Feng; Xihui Liu (CoRR, 2025)