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!
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
Area Chair: CVPR'25
Conference Reviewer: CVPR'21'22'23'24, ICCV'21'23, ECCV'22'24, SIGGRAPH'23'24, SIGGRAPH Asia'23'24, NeurIPS'21'22'23'24, ICLR'22'23'24, ICML'22'23'24, AAAI'23'24
Journal Reviewer: T-RO, RA-L, TPAMI, TVCG, IJCV, CVMJ
Qualcomm Innovation Fellowship, 2020
Powell Fellowship, 2019
Zhong-Shimo Scholarship, 2018
China National Scholarship, 2017
Silver Medal, National Olympiad in Informatics, 2014
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.
This website design is based on the template from Martin Saveski.