- OmniX: From Unified Panoramic Generation and Perception to Graphics-Ready 3D Scenes
- GenMAC: Compositional Text-to-Video Generation with Multi-Agent Collaboration
- OmniPart: Part-Aware 3D Generation with Semantic Decoupling and Structural Cohesion
- The Matrix: Infinite-Horizon World Generation with Real-Time Moving Control
- DreamCube: 3D Panorama Generation via Multi-plane Synchronization
- DreamWaltz-G: Expressive 3D Gaussian Avatars from Skeleton-Guided 2D Diffusion
- DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation
- FilMaster: Bridging Cinematic Principles and Generative AI for Automated Film Generation
Research Experience
Currently a postdoctoral fellow at the Institute of Data Science (IDS), University of Hong Kong, advised by Prof. Xihui Liu and Prof. Yi Ma. Also gained valuable experience working at International Digital Economy Academy (IDEA), Tencent ARC Lab, and Tencent Youtu Lab.
Education
Ph.D. from the University of Science and Technology of China in 2023, supervised by Prof. Xueyang Fu and Prof. Zheng-Jun Zha.
Background
Research interests: Computer vision, graphics, and machine learning, including 3D and video generation, pedestrian and object recognition, and low-level vision. Particularly interested in 3D generation of objects, avatars, and scenes, with the ultimate goal of creating immersive and fantastic digital worlds.
Miscellany
Contact: Email / Google Scholar / GitHub / X (Twitter)