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Yuan Liu (刘缘)

Incoming Assistant Professor@HKUST, PhD@HKU

yuanly@connect.hku.hk

I'm visiting NTU as a PostDoc working with Prof. Ziwei Liu. I obtained my PhD degree at HKU advised by Prof. Wenping Wang and Prof. Taku Komura. I'm one of the organizers of AnySyn3D. My research mainly concentrates on 3D vision and graphics. I currently work on topics about 3D AIGC including neural rendering, neural representations, and 3D generative models.

[Github]   [Twitter]   [Google Scholar]

Openings


I will join ISD HKUST as an assistant professor in 2025 spring. Currently, There are no positions for PhD students (2025 fall) and RA, but there are still openings for visiting students. We will focus on utilizing neural rendering/representations (NeRF, NeuS, 3D GS), 3D Generative Models and 3D LLMs for solving the following tasks.

  1. AI for 3D Asset Generation.
  2. 3D/4D Video Generation and Editing.
  3. City-scale 3D Reconstruction and Analysis.

If you are interested in working with me on these topics, please fill the Google form here and drop an email to yuanly@connect.hku.hk. I have experience in mentoring master or junior PhD students. Refer to the Mentoring section for more details.

Publications (Selected / Full Publication List)


*Equal contribution †Corresponding author
DreamMat: High-quality PBR Material Generation with Geometry- and Light-aware Diffusion Models
Yuqing Zhang*, Yuan Liu*, Zhiyu Xie, Lei Yang, Zhongyuan Liu, Mengzhou Yang, Runze Zhang, Qilong Kou, Cheng Lin, Wenping Wang, Xiaogang Jin†
SIGGRAPH 2024 (TOG)
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†
arXiv 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)
RoReg: Pairwise Point Cloud Registration with Oriented Descriptors and Local Rotations
Haiping Wang*, Yuan Liu*, Qingyong Hu, Bing Wang, Jianguo Chen, Zhen Dong†, Yulan Guo, Wenping Wang, Bisheng Yang†
TPAMI 2023
Gen6D: Generalizable Model-Free 6-DoF Object Pose Estimation from RGB Images
Yuan Liu, Yilin Wen, Sida Peng, Cheng Lin, Xiaoxiao Long, Taku Komura, Wenping Wang
ECCV 2022
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)
PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation
Sida Peng*, Yuan Liu*, Qixing Huang, Xiaowei Zhou, Hujun Bao
CVPR 2019 (Oral)

Mentoring


I spent wonderful time working with talented master or junior PhD students on some interesting research projects as follows.



©Yuan Liu.  Last updated: 12th Jun., 2024.