I am an Assistant Professor at the Department of Electrical and Electronic Engineering and Institute of Data Science (IDS), University of Hong Kong. Before joining HKU, I was a postdoc Scholar at EECS Department and BAIR at UC Berkeley, advised by Prof. Trevor Darrell. I obtained my Ph.D. degree from Multimedia Lab (MMLab), Chinese University of Hong Kong, supervised by Prof. Xiaogang Wang and Prof. Hongsheng Li. I received bachelor's degree in Electronic Engineering in Tsinghua University.

My research interests cover computer vision, deep learning, and artificial intelligence, with special emphasis on generative AI, multimodal AI, and embodied AI. I was awarded Adobe Research Fellowship 2020, Rising Stars in EECS 2021, and WAIC Rising Stars Award 2022. I serve as Area Chairs for CVPR, ICLR, NeurIPS, AAAI, and ACM MultiMedia.

I am actively looking for self-motivated Ph.D. students, postdoctoral scholars, research assistants, and visiting students to join my group. Please drop me an email if you are interested. Eligible students can apply for Hong Kong PhD Fellowship Scheme (HKPFS) and HKU Presidential PhD Scholar Programme (HKU-PS). Postgraduate scholarships (PGS) are granted to other students without HKPFS and HKU-PS. Due to the large number of emails I received, I cannot reply to all of them. But I do read all emails and reply to those that I am interested in. There's no need to send duplicate emails.


Highlighted Publications (Full List of Publications and Google Scholar)


Context as Memory: Scene-Consistent Interactive Long Video Generation with Memory Retrieval
Jiwen Yu, Jianhong Bai, Yiran Qin, Quande Liu, Xintao Wang, Pengfei Wan, Di Zhang, Xihui Liu
arXiv 2025
[Paper] [Project Page]

OmniPart: Part-Aware 3D Generation with Semantic Decoupling and Structural Cohesion
Yunhan Yang, Yufan Zhou, Yuan-Chen Guo, Zi-Xin Zou, Yukun Huang, Ying-Tian Liu, Hao Xu, Ding Liang, Yan-Pei Cao, Xihui Liu
arXiv 2025
[Paper] [Project Page]

ICCV Oral
Moto: Latent Motion Token as the Bridging Language for Robot Manipulation
Yi Chen, Yuying Ge, Yizhuo Li, Yixiao Ge, Mingyu Ding, Ying Shan, Xihui Liu
ICCV 2025 Oral
[Paper] [Project Page] [Code]

ICCV Highlight
GameFactory: Creating New Games with Generative Interactive Videos
Jiwen Yu, Yiran Qin, Xintao Wang, Pengfei Wan, Di Zhang, Xihui Liu
ICCV 2025 Highlight
[Paper] [Project Page] [Code] [Dataset]

ICCV
TokenBridge: Bridging Continuous and Discrete Tokens for Autoregressive Visual Generation
Yuqing Wang, Zhijie Lin, Yao Teng, Yuanzhi Zhu, Shuhuai Ren, Jiashi Feng, Xihui Liu
ICCV 2025
[Paper] [Project Page] [Code]

ICCV
GigaTok: Scaling Visual Tokenizers to 3 Billion Parameters for Autoregressive Image Generation
Tianwei Xiong, Jun Hao Liew, Zilong Huang, Jiashi Feng, Xihui Liu
ICCV 2025
[Paper] [Project Page] [Code]

ICCV
LLaVA-3D: A Simple yet Effective Pathway to Empowering LMMs with 3D Capabilities
Chenming Zhu, Tai Wang, Wenwei Zhang, Jiangmiao Pang, Xihui Liu
ICCV 2025
[Paper] [Project Page] [Code]

ICCV
PUMA: Empowering Unified MLLM with Multi-granular Visual Generation
Rongyao Fang, Chengqi Duan, Kun Wang, Hao Li, Hao Tian, Xingyu Zeng, Rui Zhao, Jifeng Dai, Hongsheng Li, Xihui Liu
ICCV 2025
[Paper] [Project Page] [Code]

ICCV
DreamCube: 3D Panorama Generation via Multi-plane Synchronization
Yukun Huang, Yanning Zhou, Jianan Wang, Kaiyi Huang, Xihui Liu
ICCV 2025
[Paper] [Project Page] [Code] [Video]

TPAMI
DreamWaltz-G: Expressive 3D Gaussian Avatars from Skeleton-Guided 2D Diffusion
Yukun Huang, Jianan Wang, Ailing Zeng, Zheng-Jun Zha, Lei Zhang, Xihui Liu
TPAMI 2025
[Paper] [Project page] [Code]

TPAMI
DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation
Yunhan Yang*, Shuo Chen*, Yukun Huang*, Xiaoyang Wu, Yuan-Chen Guo, Edmund Y. Lam, Hengshuang Zhao, Tong He, Xihui Liu
TPAMI 2025
[Paper]

TPAMI
T2I-CompBench++: An Enhanced and Comprehensive Benchmark for Compositional Text-to-Image Generation
Kaiyi Huang, Chengqi Duan, Kaiyue Sun, Enze Xie, Zhenguo Li, Xihui Liu
TPAMI 2025
[Paper] [Project page] [Code]

CVPR Highlight
Parallelized Autoregressive Visual Generation
Yuqing Wang, Shuhuai Ren, Zhijie Lin, Yujin Han, Haoyuan Guo, Zhenheng Yang, Difan Zou, Jiashi Feng, Xihui Liu
CVPR 2025 Highlight
[Paper] [Project Page] [Code]

CVPR
T2V-CompBench: A Comprehensive Benchmark for Compositional Text-to-video Generation
Kaiyue Sun, Kaiyi Huang, Xian Liu, Yue Wu, Zihan Xu, Zhenguo Li, Xihui Liu
CVPR 2025
[Paper] [Project Page] [Code] [LeaderBoard]

ICLR
Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding
Yao Teng, Han Shi, Xian Liu, Xuefei Ning, Guohao Dai, Yu Wang, Zhenguo Li, Xihui Liu
ICLR 2025
[Paper] [Code]

NeurIPS Spotlight
GenArtist: Multimodal LLM as an Agent for Unified Image Generation and Editing
Zhenyu Wang, Aoxue Li, Zhenguo Li, Xihui Liu
NeurIPS 2024 Spotlight
[Paper] [Project Page] [Code]

NeurIPS
LVD-2M: A Long-take Video Dataset with Temporally Dense Captions
Tianwei Xiong, Yuqing Wang, Daquan Zhou, Zhijie Lin, Jiashi Feng, Xihui Liu
NeurIPS 2024
[Paper] [Project Page] [Code and Dataset]

ECCV
Empowering 3D Visual Grounding with Reasoning Capabilities
Chenming Zhu, Tai Wang, Wenwei Zhang, Kai Chen, Xihui Liu
ECCV 2024
[Paper] [Project Page] [Code] [Data]

CVPR
DreamComposer: Controllable 3D Object Generation via Multi-View Conditions
Yunhan Yang*, Yukun Huang*, Xiaoyang Wu, Yuan-Chen Guo, Song-Hai Zhang, Hengshuang Zhao, Tong He, Xihui Liu
CVPR 2024
[Paper] [Project Page] [Code] [Hugging Face Daily Papers]

NeurIPS
T2I-CompBench: A Comprehensive Benchmark for Open-world Compositional Text-to-image Generation
Kaiyi Huang, Kaiyue Sun, Enze Xie, Zhenguo Li, Xihui Liu
NeurIPS 2023
[Paper] [Project Page] [Code] [Data] [Hugging Face Daily Papers] [T2I-CompBench++]