Our CVPR paper "Kiss3DGen: Repurposing Image Diffusion Models for 3D Asset Generation" is getting noticed
Jiantao Lin, Xin Yang, Meixi Chen, Yingjie Xu, Dongyu Yan, Leyi Wu, Xinli Xu, Lie Xu, Shunsi Zhang, Ying-Cong Chen
About Me
I am an Assistant Professor at AI Thrust, Information Hub of Hong Kong University of Science and Technology (Guangzhou). I am also an Affiliated Assistant Professor of the department of Computer Science & Engineering (Clear Water Bay Campus). I am a faculty member of the Deep Vision Lab. Previously, I was a Postdoctoral Associate at Computer Science & Artificial Intelligence Lab of Massachusetts Institute of Technology, where I had the privilege of working with Prof. Dina Katabi. I earned my Ph.D. degree from the Chinese University of Hong Kong, under the mentorship of Prof. Jiaya Jia. I am honored as Distinguished Young Scholars (Overseas). For more information about my research group, please visit EnVision-Research.
Interests
- Computer Vision
- Generative Models
- AI+X
📚 My Research
My research focuses on visual generative models, exploring their fundamental principles with the aim of improving their quality, efficiency, diversity, and controllability. Beyond foundational research, I am dedicated to applying these models to solve real-world challenges in sectors such as autonomous driving, smart manufacturing, and content creation. My overarching goal is to advance the field of generative models by tackling sophisticated real-world challenges, thereby pushing the boundaries of academic research in different disciplines. Please find the collection of our open-source code at
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Recent News
Our CVPR paper "TransPixeler: Advancing Text-to-Video Generation with Transparency" is getting noticed
Luozhou Wang, Yijun Li, Zhifei Chen, Jui-Hsien Wang, Zhifei Zhang, He Zhang, Zhe Lin, Ying-Cong Chen
Our arxiv paper "Lotus Diffusion-based Visual Foundation Model for High-quality Dense Prediction" is getting noticed
Jing He, Haodong Li, Wei Yin, Yixun Liang, Leheng Li, Kaiqiang Zhou, Hongbo Zhang, Bingbing Liu, Ying-Cong Chen
Recent Publications
TiViBench: Benchmarking Think-in-Video Reasoning for Video Generative Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
2026.
Dual-balancing for multi-task learning.
Neural Networks,
2026.
T-Rex-Omni: Integrating Negative Visual Prompt in Generic Object Detection.
AAAI Conference on Artificial Intelligence (AAAI),
2026.
UniCalli: A Unified Diffusion Framework for Column-Level Generation and Recognition of Chinese Calligraphy.
International Conference on Learning Representations (ICLR),
2026.
STANCE: Motion Coherent Video Generation Via Sparse-to-Dense Anchored Encoding.
arXiv preprint arXiv:2510.14588,
2025.