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Yuan Liu (刘缘)

Assistant Professor@HKUST, PostDoc@NTU, PhD@HKU

yuanly@ust.hk

I'm an assistant professor at ISD HKUST, leading the Intelligent Graphics Lab. Prior to that, I worked in Nanyang Technological University (NTU) as a PostDoc researcher under the supervision of Prof. Ziwei Liu. I obtained my PhD degree at the University of Hong Kong (HKU) under the supervision of Prof. Wenping Wang and Prof. Taku Komura. Previously, I also worked with Prof. Xiaowei Zhou at Zhejiang Univeristy (ZJU) in 2019. I got my master's and bachelor's degree at Wuhan University (WHU) under the supervision of Prof. Bisheng Yang in 2015 and 2018 respectively. I'm one of the organizers of AnySyn3D. My research mainly concentrates on 3D vision and graphics. I currently work on topics including neural 3D reconstruction, 3D generative models, and 3D-aware video generation.

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Openings [Chinese Version]


We are recruiting passionate PhD and visiting students from across the globe to join our research team! We especially welcome international students with a strong drive and a solid background in related fields.

We are currently working on the following topics.

  1. Neural 3D reconstruction (like NeuS, Align3R).
  2. 3D asset generation (like SyncHuman, MeshMosaic).
  3. 3D-aware video generation (like Diffusion as Shader).
  4. 3D LLM agents (like CityAnchor).

Some recent works can be found in the Publications section. If you are interested in working with me on these topics, please fill the Google form here and drop an email to yuanly@ust.hk.


Join Us at HKUST! Are you passionate about 3D vision and graphics? At HKUST, one of Asia's top universities, you'll have the opportunity to engage in groundbreaking research alongside world-class faculty in a vibrant, innovative environment. We warmly welcome students from all over the world to join our diverse and inclusive community.

We offer a competitive monthly stipend of 19,700 HKD (around 2,500 USD) to support your academic journey. Exceptional candidates are also encouraged to apply for the prestigious HKPFS, which provides an enhanced stipend of 28,000 HKD (approximately 3,600 USD). With these scholarships, you’ll enjoy an excellent quality of life in Hong Kong while advancing your research and shaping the future of 3D technology. We can't wait to welcome you to our thriving research community!

Selected Publications (Google Scholar)


*Equal contribution †Corresponding author
Diffusion as Shader: 3D-aware Video Diffusion for Versatile Video Generation Control
Zekai Gu, Rui Yan, Jiahao Lu, Peng Li, Zhiyang Dou, Chenyang Si, Zhen Dong, Qifeng Liu, Cheng Lin, Ziwei Liu, Wenping Wang, Yuan Liu
SIGGRAPH 2025
Align3R: Aligned Monocular Depth Estimation for Dynamic Videos
Jiahao Lu*, Tianyu Huang*, Peng Li, Zhiyang Dou, Cheng Lin, Zhiming Cui, Zhen Dong, Sai-Kit Yeung, Wenping Wang, Yuan Liu
CVPR 2025
PSHuman: Photorealistic Single-image 3D Human Reconstruction using Cross-Scale Multiview Diffusion and Explicit Remeshing
Peng Li, Wangguandong Zheng, Yuan Liu†, Tao Yu, Yangguang Li, Xingqun Qi, Mengfei Li, Xiaowei Chi, Siyu Xia, Wei Xue, Wenhan Luo†, Qifeng Liu, Yike Guo
CVPR 2025
VistaDream: Sampling multiview consistent images for single-view scene reconstruction
Haiping Wang, Yuan Liu†, Ziwei Liu, Wenping Wang, Zhen Dong†, Bisheng Yang
ICCV 2025
Era3D: High-Resolution Multiview Diffusion using Efficient Row-wise Attention
Peng Li*, Yuan Liu*, Xiaoxiao Long†, Feihu Zhang, Cheng Lin, Mengfei Li, Xingqun Qi, Shanghang Zhang, Wei Xue, Wenhan Luo, Ping Tan, Wenping Wang, Qifeng Liu, Yike Guo†
NeurIPS 2024
SyncDreamer: Generating Multiview-consistent Images from a Single-view Image
Yuan Liu*, Cheng Lin*, Zijiao Zeng, Xiaoxiao Long†, Lingjie Liu, Taku Komura, Wenping Wang†
ICLR 2024 (Spotlight)
Wonder3D: Single Image to 3D using Cross-Domain Diffusion
Xiaoxiao Long*, Yuan-Chen Guo*, Cheng Lin†, Yuan Liu, Zhiyang Dou, Lingjie Liu, Yuexin Ma, Song-Hai Zhang, Marc Habermann, Christian Theobalt, Wenping Wang†
CVPR 2024 (Highlight)
NeRO: Neural Geometry and BRDF Reconstruction of Reflective Objects from Multiview Images
Yuan Liu, Peng Wang, Cheng Lin, Xiaoxiao Long, Jiepeng Wang, Lingjie Liu, Taku Komura, Wenping Wang
SIGGRAPH 2023 (ToG)
F2NeRF: Fast Neural Radiance Field Training with Free Camera Trajectories
Peng Wang*, Yuan Liu*, Zhaoxi Chen, Ziwei Liu, Lingjie Liu, Taku Komura, Christian Theobalt, Wenping Wang
CVPR 2023 (Highlight)
Neural Rays for Occlusion-aware Image-based Rendering
Yuan Liu, Sida Peng, Lingjie Liu, Qianqian Wang, Peng Wang, Christian Theobalt, Xiaowei Zhou, Wenping Wang
CVPR 2022
NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction
Peng Wang, Lingjie Liu, Yuan Liu, Christian Theobalt, Taku Komura, Wenping Wang
NeurIPS 2021 (Spotlight)



©Yuan Liu.  Last updated: 2 Oct, 2025.