Yuanzhi Zhu

According to our database, Yuanzhi Zhu authored at least 14 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

MFSR: MeanFlow Distillation for One Step Real-World Image Super Resolution.

Ruiqing Wang, Kai Zhang, Yuanzhi Zhu, Hanshu Yan, Shilin Lu, Jian Yang

CoRR, March, 2026

Diffusion Reinforcement Learning via Centered Reward Distillation.

Yuanzhi Zhu, Xi Wang, Stéphane Lathuilière, Vicky Kalogeiton

CoRR, March, 2026

2025

What about gravity in video generation? Post-Training Newton's Laws with Verifiable Rewards.

Minh-Quan Le, Yuanzhi Zhu, Vicky Kalogeiton, Dimitris Samaras

CoRR, December, 2025

One-step Diffusion Models with Bregman Density Ratio Matching.

Yuanzhi Zhu, Eleftherios Tsonis, Lucas Degeorge, Vicky Kalogeiton

CoRR, October, 2025

Soft-Di[M]O: Improving One-Step Discrete Image Generation with Soft Embeddings.

Yuanzhi Zhu, Xi Wang, Stéphane Lathuilière, Vicky Kalogeiton

CoRR, September, 2025

Generalizable Single-Source Cross-Modality Medical Image Segmentation via Invariant Causal Mechanisms.

Boqi Chen, Yuanzhi Zhu, Yunke Ao, Sebastiano Caprara, Reto Sutter, Gunnar Rätsch, Ender Konukoglu, Anna Susmelj

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Di[M]O: Distilling Masked Diffusion Models Into One-Step Generator.

Yuanzhi Zhu, Xi Wang, Stéphane Lathuilière, Vicky Kalogeiton

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Bridging Continuous and Discrete Tokens for Autoregressive Visual Generation.

Yuqing Wang, Zhijie Lin, Yao Teng, Yuanzhi Zhu, Shuhuai Ren, Jiashi Feng, Xihui Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

OFTSR: One-Step Flow for Image Super-Resolution with Tunable Fidelity-Realism Trade-offs.

Yuanzhi Zhu, Ruiqing Wang, Shilin Lu, Junnan Li, Hanshu Yan, Kai Zhang

CoRR, 2024

Accelerating Video Diffusion Models via Distribution Matching.

Yuanzhi Zhu, Hanshu Yan, Huan Yang, Kai Zhang, Junnan Li

CoRR, 2024

SlimFlow: Training Smaller One-Step Diffusion Models with Rectified Flow.

Yuanzhi Zhu, Xingchao Liu, Qiang Liu

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Pre-trained Diffusion Models for Plug-and-Play Medical Image Enhancement.

Jun Ma, Yuanzhi Zhu, Chenyu You, Bo Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion.

Zixiang Zhao, Haowen Bai, Yuanzhi Zhu, Jiangshe Zhang, Shuang Xu, Yulun Zhang, Kai Zhang, Deyu Meng, Radu Timofte, Luc Van Gool

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Denoising Diffusion Models for Plug-and-Play Image Restoration.

Yuanzhi Zhu, Kai Zhang, Jingyun Liang, Jiezhang Cao, Bihan Wen, Radu Timofte, Luc Van Gool

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023