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

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, 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

Awards

Qualcomm Innovation Fellowship, 2020
Powell Fellowship, 2019
Zhong-Shimo Scholarship, 2018
China National Scholarship, 2017
Silver Medal, National Olympiad in Informatics, 2014

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.