Haiping Wang
Ph.D. Wuhan University (2023-Now)
I am currently a Ph.D. student at LIESMARS, Wuhan University, under the supervision of Prof. Zhen Dong and Prof. Bisheng Yang. I also maintain a close collaboration with Assistant Prof. Yuan Liu from HKUST. Additionally, I am an active member of AnySync3D and maintain an open-source platform WHU-USI3DV for point cloud processing benchmarks and algorithms. My research focuses on advanced 3D vision algorithms, encompassing 3D reconstruction, 3D understanding, and 3D Large Language Models.
Education
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LIESMARS, Wuhan University
Ph.D. in Photogrammetry and Remote Sensing Sep. 2023 - Now
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LIESMARS, Wuhan University
M.S.(Trans. to Ph.D.) in Photogrammetry and Remote Sensing Sep. 2020 - Jul. 2023
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SGG, Wuhan University
B.S. in Photogrammetry and Remote Sensing (Rank 2/291) Sep. 2016 - Jul. 2020
Honors & Awards
- National Scholarship for Ph.D. (Top 3%, Rank 1st in LISMARS) 2023
- Gold Medal of Smart City Technology Innovation Award (Rank 1st) 2023
- Outstanding Student Scholarship (Top 1%) 2020
- Outstanding Graduate of Wuhan University (Top 5%) 2020
- Dao-Yu Liu Innovation & Learning Scholarship - First Class (Top 5%) 2019
- The Best Paper Award at the National Lidar Conference (Top 10) 2018
- National Scholarship for Postgraduates (Top 3%) 2017 & 2018
Selected First Author Publications (view all )
VistaDream':' Sampling multiview consistent images for single-view scene reconstruction
Haiping Wang, Yuan Liu†, Ziwei Liu, Zhen Dong†, Wenping Wang, Bisheng Yang
arXiv 2024
VistaDream is a training-free framework to reconstruct a high-quality 3D scene from a single-view image. The key idea is to sample multi-view consistent high-quality images for pre-trained single-view diffusion models.
FreeReg':' Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators
Haiping Wang*, Yuan Liu*, Bing Wang, Yujing Sun, Zhen Dong†, Wenping Wang, Bisheng Yang†
International Conference on Learning Representations (ICLR) 2024
FreeReg extracts cross-modality features from pretrained diffusion models and monocular depth estimators for accurate zero-shot image-to-point cloud registration.
A novel method for registration of MLS and stereo reconstructed point clouds
Xiaochen Yang*, Haiping Wang*, Zhen Dong†, Yuan Liu, Yuhan Li, Bisheng Yang†
IEEE Transactions on Geoscience and Remote Sensing (T-GRS, IF:8.2) 2024
A fast and robust SO(2)-equivariant point cloud descriptor designed for aligning point clouds confirming 4DoF rigid-transformation such as MLS and TLS data.
Robust Multiview Point Cloud Registration with Reliable Pose Graph Initialization and History Reweighting
Haiping Wang*, Yuan Liu*, Zhen Dong†, Yulan Guo, Yu-Shen Liu, Wenping Wang, Bisheng Yang†
The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) 2023
A simple and effective multiview point cloud registration method containing a sparse pose graph construction and a robust IRLS method, achieving SoTA registration performances on the 3D(Lo)Match, ScanNet, and ETH datasets (2023).
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†
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI, IF:24.3) 2023
Group-based rotation-equivariance can benefit each components of point cloud registration, including feature extraction, feature detection, feature matching, and transformation estimation. RoReg achieves SoTA registration performances on the 3D(Lo)Match and ETH datasets (2023).
You Only Hypothesize Once':' Point Cloud Registration with Rotation-equivariant Descriptors
Haiping Wang*, Yuan Liu*, Zhen Dong†, Wenping Wang
ACM Multimedia (MM) 2022
Endow local descriptors of point clouds with rotation equivariance based on the icosahedral group learning, achieving SoTA registration performances on the 3D(Lo)Match, ETH, and WHU-TLS datasets (2022).