Educational Background：

• 2020-2024：The University of Hong Kong, Computer Science, PhD
• 2015-2018：Wuhan University, Photogrammetry and Remote Sensing, Master
• 2011-2015：Wuhan University, Geodesy and Geomatics Engineering, Bachelor

Work Experience ：

• 2025-present：Hong Kong University of Science and Technology, Division of Integrative System and Design, Assistant Professor.
• 2024-2025 Nanyang Technological University, College of Computing and Data Science, PostDoc Researcher.

Yuan Liu is currently an Assistant Professor and PhD Supervisor at the Hong Kong University of Science and Technology (HKUST). He received his Ph.D. in Computer Science from the University of Hong Kong (HKU). He then conducted postdoctoral research at Nanyang Technological University (NTU). His research focuses on 3D computer vision and computer graphics. He is dedicated to developing fast, efficient, and accurate methods for 3D reconstruction, 3D generation, and video generation using artificial intelligence, with applications in film, animation, games, survey and robotics. His representative works, including SyncDreamer, NeuS, and PVNet, have been widely recognized in the community and become foundational algorithms in the field. He has published many papers in top-tier conferences and journals in computer vision and graphics (such as CVPR, ECCV, ICCV, NeurIPS, SIGGRAPH, ICLR, etc.),

Representative Publications:

1. (First Author) Yuan Liu, Cheng Lin, Zijiao Zeng, Xiaoxiao Long, Lingjie Liu, Taku Komura, Wenping Wang. SyncDreamer: Generating Multiview-consistent Images from a Single-view Image. International Conference on Learning Representations (ICLR), 2024

2. (First Author) Yuan Liu, Sida Peng, Lingjie Liu, Qianqian Wang, Peng Wang, Christian Theobalt, Xiaowei Zhou, Wenping Wang. Neural rays for occlusion-aware image-based rendering. Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (CVPR), 2022

3. (First Author) Yuan Liu, Peng Wang, Cheng Lin, Xiaoxiao Long, Jiepeng Wang, Lingjie Liu, Taku Komura, Wenping Wang. NeRO: Neural geometry and brdf reconstruction of reflective objects from multiview images. ACM Transactions on Graphics (TOG), 2023

4. (First Author) Yuan Liu, Yilin Wen, Sida Peng, Cheng Lin, Xiaoxiao Long, Taku Komura, Wenping Wang. Gen6D: Generalizable model-free 6-DoF object pose estimation from RGB images. Computer Vision–ECCV, 2022.

5. (Co-first Author) Peng Wang, Yuan Liu, Zhaoxi Chen, Lingjie Liu, Ziwei Liu, Taku Komura, Christian Theobalt, Wenping Wang. F2-NeRF: Fast neural radiance field training with free camera trajectories. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

6. (Co-first Author) Haiping Wang, Yuan Liu, Qingyong Hu, Bing Wang, Jianguo Chen, Zhen Dong, Yulan Guo, Wenping Wang, Bisheng Yang. RoReg: Pairwise point cloud registration with oriented descriptors and local rotations. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2023.

7. (Corresponding Author) Zekai Gu, Rui Yan, Jiahao Lu, Peng Li, Zhiyang Dou, Chenyang Si, Zhen Dong, Qifeng Liu, Cheng Lin, Ziwei Liu, Wenping Wang, Yuan Liu. Diffusion as shader: 3D-aware video diffusion for versatile video generation control. Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers (SIGGRAPH), 2025.

8. (Corresponding Author) Jiahao Lu, Tianyu Huang, Peng Li, Zhiyang Dou, Cheng Lin, Zhiming Cui, Zhen Dong, Sai-Kit Yeung, Wenping Wang, Yuan Liu. Align3R: Aligned monocular depth estimation for dynamic videos. Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR), 2025.