Pengze Zhang

Pengze Zhang (张鹏泽)

I'm a reasercher at ByteDance in Beijing, China. I obtained my Ph.D degree from the Sun Yat-sen University in 2024, advisor by Prof. Xiaohua Xie and Prof. Jianhuang Lai. I spent wonderful vacations as an intern at Wechat, Tencent. Before that, I received B.Eng from Sun Yat-sen University in 2019.

Email / Scholar / Github

Research

I’ve been fortunate to focus on the fascinating and inspiring field of visual generation since starting my PhD, with research interests spanning image/video generation, generative models, and multimodal generation.

	DreamID-V: Bridging the Image-to-Video Gap for High-Fidelity Face Swapping via Diffusion Transformer Xu Guo, Fulong Ye, Xinghui Li, Pengqi Tu, Pengze Zhang, Qichao Sun, Songtao Zhao, Xiangwang Hou, Qian He arXiv*, 2025 project page / arXiv
	InstructX: Towards Unified Visual Editing with MLLM Guidance Chong Mou, Qichao Sun, Yanze Wu, Pengze Zhang, Xinghui Li, Fulong Ye, Songtao Zhao, Qian He arXiv, 2025 project page / arXiv
	OmniInsert: Mask-Free Video Insertion of Any Reference via Diffusion Transformer Models Jinshu Chen, Xinghui Li, Xu Bai, Tianxiang Ma, Pengze Zhang, Zhuowei Chen, Gen Li, Lijie Liu, Songtao Zhao, Bingchuan Li, Qian He arXiv*, 2025 project page / arXiv
	DreamO: A Unified Framework for Image Customization Chong Mou, Yanze Wu, Wenxu Wu, Zinan Guo, Pengze Zhang, Yufeng Cheng, Yiming Luo, Fei Ding, Shiwen Zhang, Xinghui Li, Mengtian Li, Mingcong Liu, Yi Zhang, Shaojin Wu, Songtao Zhao, Jian Zhang, Qian He, Xinglong Wu SIGGRAPH Asia, 2025 project page / arXiv
	DreamID: A Fast and High-Fidelity diffusion-based Face Swapping via Triplet ID Group Learning Fulong Ye, Miao Hua, Pengze Zhang, Xinghui Li, Qichao Sun, Songtao Zhao, Qian He, Xinglong Wu SIGGRAPH Asia, 2025 project page / arXiv
	MUSAR: Exploring Multi-Subject Customization from Single-Subject Dataset via Attention Routing Zinan Guo, Pengze Zhang, Yanze Wu, Chong Mou, Songtao Zhao, Qian He arxiv, 2025 project page / arXiv
	AnyDressing: Customizable Multi-Garment Virtual Dressing via Latent Diffusion Models Xinghui Li, Qichao Sun, Pengze Zhang, Fulong Ye, Zhichao Liao, Wanquan Feng, Songtao Zhao, Qian He CVPR, 2025 project page / arXiv
	Tackling the Singularities at the Endpoints of Time Intervals in Diffusion Models Pengze Zhang, Hubery Yin Chen Li, Xiaohua Xie CVPR, 2024 project page / arXiv
	Pose Guided Person Image Generation Via Dual-Task Correlation and Affinity Learning Pengze Zhang, Lingxiao Yang, Xiaohua Xie, Jianhuang Lai TVCG, 2023 ieee
	Formulating Discrete Probability Flow Through Optimal Transport Pengze Zhang, Hubery Yin Chen Li, Xiaohua Xie NeurIPS, 2023 project page / openreview / arxiv
	Exploring Dual-task Correlation for Pose Guided Person Image Generation Pengze Zhang, Lingxiao Yang, Jianhuang Lai, Xiaohua Xie CVPR, 2022 project page / arxiv
	Lightweight Texture Correlation Network for Pose Guided Person Image Generation Pengze Zhang, Lingxiao Yang, Jianhuang Lai, Xiaohua Xie TCSVT, 2021 project page / ieee