Qinghe Wang (王清和)

I am a third-year PhD student at the IIAU-Lab in Dalian University of Technology, under the supervision of Prof. Huchuan Lu (IEEE Fellow) and Prof. Xu Jia. I obtained my Master's degree from Tianjin University supervised by Prof. Pengfei Zhu and Prof. Bing Cao. I obtained my Bachelor's degree from Dalian Maritime University. My research focuses on Video/Image generation with Diffusion models/GANs.

E-mail: aitwqh@163.com

[GitHub] [Google Scholar] [Twitter/X]

Kuaishou
2024.7~Now Research Intern in Kling Team, Kuaishou Technology (Shenzhen)  
Supervisors: Xiaoyu Shi, Xintao Wang
Topic: Video Generation

ByteDance
2022.4~2022.12 Research Intern in ByteDance Intelligent Creation Lab (Beijing)  
Supervisors: Lijie Liu, Qian He
Topic: Image Generation

[Arxiv 2025]  
MultiShotMaster: A Controllable Multi-Shot Video Generation Framework
Qinghe Wang, Xiaoyu Shi✉, Baolu Li, Weikang Bian, Quande Liu, Huchuan Lu, Xintao Wang, Pengfei Wan, Kun Gai, Xu Jia✉
[Paper] [Project Page] [Code (working)]

The first controllable multi-shot video generation framework that supports text-driven inter-shot consistency, customized subject with motion control, and background-driven customized scene. Both shot counts and shot durations are variable.

[Arxiv 2025]  
VFXMaster: Unlocking Dynamic Visual Effect Generation via In-Context Learning
Baolu Li*, Yiming Zhang*, Qinghe Wang*(co-first, Project Lead), Liqian Ma✉, Xiaoyu Shi, Xintao Wang, Pengfei Wan, Zhenfei Yin, Yunzhi Zhuge, Huchuan Lu, Xu Jia✉
[Paper] [Project Page]

A unified reference-based VFX video generation framework allows users to reproduce diverse dynamic effects from reference videos onto target content.

[SIGGRAPH 2025 CCF A]  
CineMaster: A 3D-Aware and Controllable Framework for Cinematic Text-to-Video Generation
Qinghe Wang*, Yawen Luo*(co-first), Xiaoyu Shi✉, Xu Jia✉, Huchuan Lu, Tianfan Xue✉, Xintao Wang, Pengfei Wan, Di Zhang, Kun Gai.
[Paper] [Project Page]

A 3D-aware and controllable text-to-video generation method allows users to manipulate objects and camera jointly in 3D space for high-quality cinematic video creation.

[TIP 2025 CAS-JCR Q1 Top; CCF A]  
CharacterFactory: Sampling Consistent Characters with GANs for Diffusion Models
Qinghe Wang, Baolu Li, Xiaomin Li, Bing Cao, Liqian Ma, Huchuan Lu, Xu Jia✉.
[Gradio Demo] [Paper] [Project Page] [Code]

An end-to-end framework allows users to sample new characters with consistent identities for new character creation.

[TMM 2025 CAS-JCR Q1 Top]  
StableIdentity: Inserting Anybody into Anywhere at First Sight
Qinghe Wang, Xu Jia✉, Xiaomin Li, Taiqing Li, Liqian Ma, Yunzhi Zhuge, Huchuan Lu.
[Paper] [Project Page] [Code] [LeCun: OMG]

A framework enables identity-consistent generation with just one face image, and seamless integration with video/3D generation without finetuning.

[Arxiv 2023]  
HS-Diffusion: Semantic-Mixing Diffusion for Head Swapping
Qinghe Wang, Lijie Liu, Miao Hua, Pengfei Zhu, Wangmeng Zuo, Qinghua Hu, Huchuan Lu, Bing Cao✉.
[Paper] [Code]

A framework enables seamless head swapping, preserving both head and body details while generating natural transition regions.

[TNNLS 2023 CAS-JCR Q1 Top]  
Multi-view knowledge ensemble with frequency consistency for cross-domain face translation
Bing Cao, Qinghe Wang, Pengfei Zhu✉, Qinghua Hu, Dongwei Ren, Wangmeng Zuo, Xinbo Gao.
[Paper] [Code]

A framework enables cross-domain face translation with structural and identity preservation.

[中国科学：信息科学 CCF A类中文期刊]  
基于自判别循环生成对抗网络的人脸图像翻译 (Nickname: CycleGAN--)
中国科学：信息科学 (2022).
王清和, 曹兵✉, 朱鹏飞, 王楠楠, 胡清华, 高新波.
[Paper] [Code]

A framework enables cross-domain face translation by integrating two the discriminators into two encoders.