Minghua Liu
Founding Member @ Hillbot
Ph.D. @ University of California, San Diego
minghua@ucsd.edu / m@hillbot.ai
Bio
I am a founding member at Hillbot Inc. My research primarily focuses on 3D vision and embodied AI. I earned my Ph.D. degree in Computer Science from UC San Diego in 2024, where I was fortunate to be advised by Prof. Hao Su .
I have gained valuable experience at NVIDIA, Qualcomm, Waymo, Adobe, Sensetime, and USC. Prior to my Ph.D., I completed my undergraduate studies in Computer Science at Tsinghua University in 2019 under the mentorship of Prof. Shi-Min Hu .
Collaboration/Internship: Feel free to email me if you share similar interests in 3D vision and embodied AI!
Publications
FreeArt3D: Training-Free Articulated Object Generation using 3D Diffusion
Chuhao Chen, Isabella Liu, Xinyue Wei, Hao Su, Minghua Liu
SIGGRAPH ASIA 2025
LARM: A Large Articulated Object Reconstruction Model
Sylvia Yuan, Ruoxi Shi, Xinyue Wei, Xiaoshuai Zhang, Hao Su, Minghua Liu
SIGGRAPH ASIA 2025
PartUV: Part-Based UV Unwrapping of 3D Meshes
Zhaoning Wang, Xinyue Wei, Ruoxi Shi, Xiaoshuai Zhang, Hao Su, Minghua Liu
SIGGRAPH ASIA 2025
PaMO: Parallel Mesh Optimization for Intersection-Free Low-Poly Modeling on the GPU
Seonghun Oh, Xiaodi Yuan, Xinyue Wei, Ruoxi Shi, Fanbo Xiang, Minghua Liu , Hao Su
Pacific Graphics 2025
PartField: Learning 3D Feature Fields for Part Segmentation and Beyond
Minghua Liu* , Mikaela Angelina Uy*, Donglai Xiang, Hao Su, Sanja Fidler, Nicholas Sharp, Jun Gao
ICCV 2025
MeshFormer: High-Quality Mesh Generation with 3D-Guided Reconstruction Model
Minghua Liu* , Chong Zeng*, Xinyue Wei, Ruoxi Shi, Linghao Chen, Chao Xu, Mengqi Zhang, Zhaoning Wang, Xiaoshuai Zhang, Isabella Liu, Hongzhi Wu, Hao Su
NeurIPS 2024 (Oral)
SpaRP: Fast 3D Object Reconstruction and Pose Estimation from Sparse Views
Chao Xu, Ang Li, Linghao Chen, Yulin Liu, Ruoxi Shi, Minghua Liu* , Hao Su*
ECCV 2024
One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion
Minghua Liu* , Ruoxi Shi*, Linghao Chen*, Zhuoyang Zhang*, Chao Xu*, Xinyue Wei, Hansheng Chen, Chong Zeng, Jiayuan Gu, Hao Su
CVPR 2024
Learning Reusable Dense Rewards for Multi-Stage Tasks
Tongzhou Mu, Minghua Liu , Hao Su
ICLR 2024
Zero123++: A Single Image to Consistent Multi-view Diffusion Base Model
Ruoxi Shi, Hansheng Chen, Zhuoyang Zhang, Minghua Liu , Chao Xu, Xinyue Wei, Linghao Chen, Chong Zeng, Hao Su
Technical Report
One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization
Minghua Liu* , Chao Xu*, Haian Jin*, Linghao Chen*, Mukund Varma T, Zexiang Xu, Hao Su
NeurIPS 2023
OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding
Minghua Liu* , Ruoxi Shi*, Kaiming Kuang*, Yinhao Zhu, Xuanlin Li, Shizhong Han, Hong Cai, Fatih Porikli, Hao Su
NeurIPS 2023
Distilling Large Vision-Language Model with Out-of-Distribution Generalizability
Xuanlin Li*, Yunhao Fang*, Minghua Liu , Zhan Ling, Zhuowen Tu, Hao Su
ICCV 2023
PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models
Minghua Liu , Yinhao Zhu, Hong Cai, Shizhong Han, Zhan Ling, Fatih Porikli, Hao Su
CVPR 2023
Frame Mining: a Free Lunch for Learning Robotic Manipulation from 3D Point Clouds
Minghua Liu* , Xuanlin Li*, Zhan Ling*, Yangyan Li, Hao Su
CoRL 2022
LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds
Minghua Liu , Yin Zhou, Charles R. Qi, Boqing Gong, Hao Su, Dragomir Anguelov
ECCV 2022 (Oral)
Approximate Convex Decomposition for 3D Meshes with Collision-Aware Concavity and Tree Search
Xinyue Wei*, Minghua Liu* , Zhan Lin, Hao Su
SIGGRAPH 2022 (Journal Track)
Close the Visual Domain Gap by Physics-Grounded Active Stereovision Depth Sensor Simulation
Xiaoshuai Zhang*, Rui Chen*, Fanbo Xiang**, Yuzhe Qin**, Jiayuan Gu**, Zhan Ling**, Minghua Liu** , Peiyu Zeng**, Songfang Han***, Zhiao Huang***, Tongzhou Mu***, Jing Xu, Hao Su
TR-O 2023
DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes with Biharmonic Coordinates
Minghua Liu , Minhyuk Sung, Radomir Mech, Hao Su
CVPR 2021 (Oral)
Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance
Minghua Liu , Minhyuk Sung, Radomir Mech, Hao Su
ECCV 2020
SAPIEN: A SimulAted Part-based Interactive ENvironment
Fanbo Xiang, Yuzhe Qin, Kaichun Mo, Yikuan Xia, Hao Zhu, Fangchen Liu, Minghua Liu , Hanxiao Jiang, Yifu Yuan, He Wang, Li Yi, Angel Chang, Leonidas Guibas, Hao Su
CVPR 2020 (Oral)
Morphing and Sampling Network for Dense Point Cloud Completion
Minghua Liu , Lu Sheng, Sheng Yang, Jing Shao, Shi-Min Hu
AAAI 2020
Multi-task Batch Reinforcement Learning with Metric Learning
Jiachen Li*, Quan Vuong*, Shuang Liu, Minghua Liu , Kamil Ciosek, Henrik Iskov Christensen, Hao Su
NeurIPS 2020
Task and Path Planning for Multi-Agent Pickup and Delivery
Minghua Liu , Hang Ma, Jiaoyang Li, Sven Koenig
AAMAS 2019
HeteroFusion: Dense Scene Reconstruction Integrating Multi-sensors
Sheng Yang, Beichen Li, Minghua Liu , Yu-Kun Lai, Leif Kobbelt, Shi-Min Hu
TVCG
Saliency-Aware Real-Time Volumetric Fusion for Object Reconstruction
Sheng Yang, Kang Chen, Minghua Liu , Hongbo Fu and Shi-Min Hu
Pacific Graphics 2017
Services
Area Chair : CVPR'25
Conference Reviewer : CVPR'21'22'23'24, ICCV'21'23'25, ECCV'22'24, SIGGRAPH'23'24'25, SIGGRAPH Asia'23'24'25, NeurIPS'21'22'23'24'25, ICLR'22'23'24, ICML'22'23'24, AAAI'23'24
Journal Reviewer : T-RO, RA-L, TPAMI, TVCG, IJCV, CVMJ
Awards
Qualcomm Innovation Fellowship, 2020
Misc.
I was born and raised in Hunan, China, before attending college, and I am a big fan of spicy food!
I enjoy various outdoor activities like hiking , camping , fishing , skiing, and more in my free time.
I'm a dog person and have an adorable Labrador named Jojo , who always keeps me company on my adventures.
Acknowledgement
This website design is based on the template from Martin Saveski .
Minghua Liu
minghua@ucsd.edu / m@hillbot.ai
