Honghua Chen Research Assistant Professor School of Data Science Lingnan University Hong Kong Email: honghuachen [at] LN [dot] edu [dot] hk

Biography

I am currently a Research Assistant Professor at the School of Data Science, Lingnan University, Hong Kong. From 2023 to 2025, I was a Research Fellow at the MMLab@NTU and S-Lab, Nanyang Technological University (NTU), Singapore, where I worked with Prof. Xingang Pan and Prof. Chen Change Loy.
Before joining NTU, I obtained the PhD degree in 2022 from NUAA and was supervised by Prof. Jun Wang. Meanwhile, I worked closely with Prof. Mingqiang Wei. From 2020 to 2022, I was a Research Assistant at The Chinese University of Hong Kong (CUHK) and Hong Kong Center for Logistics Robotics.

My research interests include 3D Vision/AIGC, 3D Measurement, Computer Graphics, and Geometric Deep Learning.

News

Publications

Selected papers are organized into a cleaner theme-separated layout. Kindly check the full list [Google Scholar].

^† corresponding author, ^‡ co-first author.

3D Editing & Generation
No preview	CoreEditor: Consistent 3D Editing via Correspondence-Constrained Diffusion Zhe Zhu, Honghua Chen†, Peng Li, and Mingqiang Wei IEEE TVCG, 2026 [code]
	ArtiLatent: Realistic Articulated 3D Object Generation via Structured Latents Honghua Chen, Yushi Lan, Yongwei Chen, and Xingang Pan SIGGRAPH Asia, 2025 [code]
	Textured 3D Regenerative Morphing with 3D Diffusion Prior Songlin Yang, Yushi Lan, Honghua Chen, and Xingang Pan ICCV, 2025 [code]
	MvDrag3D: Drag-Based Creative 3D Editing via Multi-View Generation-Reconstruction Priors Honghua Chen, Yushi Lan, Yongwei Chen, Yifan Zhou, and Xingang Pan arXiv preprint, 2024 [code]
	MVIP-NeRF: Multi-View 3D Inpainting on NeRF Scenes via Diffusion Prior Honghua Chen, Chen Change Loy, and Xingang Pan CVPR, 2024 [code]
3D Reconstruction & Registration
	RGGT: A Generative-Prior-Guided Transformer for Unified Rigid and Non-Rigid Point Cloud Registration Chengyu Zheng, Songlin Yang, Jin Huang, Honghua Chen, Weiming Wang, Haoran Xie, Fu Lee Wang, and Mingqiang Wei ICML 2026
	STream3R: Scalable Sequential 3D Reconstruction with Causal Transformer Yushi Lan, Yihang Luo, Fangzhou Hong, Shangchen Zhou, Honghua Chen, Zhaoyang Lyu, Shuai Yang, Bo Dai, Chen Change Loy, and Xingang Pan ICLR, 2026 [code]
	RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning Chengyu Zheng, Jin Huang, Honghua Chen†, and Mingqiang Wei† ICCV, 2025 [code]
	RegiFormer: Unsupervised Point Cloud Registration via Geometric Local-to-Global Transformer and Self-Augmentation Chengyu Zheng, Mengjiao Ma, Zhilei Chen, Honghua Chen, Weiming Wang, and Mingqiang Wei IEEE TGRS, 2024
	ImLoveNet: Misaligned Image-Supported Registration Network for Low-Overlap Point Cloud Pairs Honghua Chen, Zeyong Wei, Yabin Xu, Mingqiang Wei, and Jun Wang SIGGRAPH, 2022
	UTOPIC: Uncertainty-Aware Overlap Prediction Network for Partial Point Cloud Registration Zhilei Chen, Honghua Chen†, Lina Gong, Xuefeng Yan, Jun Wang, Yanwen Guo, Jing Qin, and Mingqiang Wei† CGF, 2022 [code]
	Robust and Accurate RGB-D Reconstruction with Line Feature Constraints Yabin Xu, Laishui Zhou, Hao Tang, Qiaoyun Wu, Qian Xie, Honghua Chen, and Jun Wang IEEE RA-L, 2021
3D Low-Level Processing
	BridgeShape: Latent Diffusion Schrödinger Bridge for 3D Shape Completion Dequan Kong, Honghua Chen†, Zhe Zhu, and Mingqiang Wei AAAI, 2026 [code]
	Revisiting Tradition and Beyond: A Customized Bilateral Filtering Framework for Point Cloud Denoising Peng Li, Zeyong Wei, Honghua Chen, Xuefeng Yan, and Mingqiang Wei ACM TOG, 2025
	PointSea: Point Cloud Completion via Self-Structure Augmentation Zhe Zhu, Honghua Chen, Xing He, and Mingqiang Wei IJCV, 2025 [code]
	PointCG: Self-Supervised Point Cloud Learning via Joint Completion and Generation Yun Liu, Peng Li, Xuefeng Yan, Liangliang Nan, Bing Wang, Honghua Chen, Lina Gong, Wei Zhao, and Mingqiang Wei IEEE TVCG, 2025 [code]
	PathNet: Path-Selective Point Cloud Denoising Zeyong Wei, Honghua Chen†, Liangliang Nan, Jun Wang, Jing Qin, and Mingqiang Wei† IEEE TPAMI, 2024 [code]
	Geometric and Learning-Based Mesh Denoising: A Comprehensive Survey Honghua Chen, Zhiqi Li, Mingqiang Wei, and Jun Wang ACM TOMM, 2023 [data]
	CSDN: Cross-Modal Shape-Transfer Dual-Refinement Network for Point Cloud Completion Zhe Zhu, Liangliang Nan, Haoran Xie, Honghua Chen, Jun Wang, Mingqiang Wei, and Jing Qin IEEE TVCG, 2023 [code]
	SVDFormer: Complementing Point Cloud via Self-View Augmentation and Self-Structure Dual-Generator Zhe Zhu, Honghua Chen, Xing He, Weiming Wang, Jing Qin, and Mingqiang Wei ICCV, 2023 [code]
	Refine-Net: Normal Refinement Neural Network for Noisy Point Clouds Haoran Zhou, Honghua Chen, Yingkui Zhang, Mingqiang Wei, Haoran Xie, Jun Wang, Tong Lu, Jing Qin, and Xiaoping Zhang IEEE TPAMI, 2022 [code]
	RePCD-Net: Feature-Aware Recurrent Point Cloud Denoising Network Honghua Chen, Zeyong Wei, Xianzhi Li, Yabin Xu, Mingqiang Wei, and Jun Wang IJCV, 2021 [code]
	GeoDualCNN: Geometry-Supporting Dual Convolutional Neural Network for Noisy Point Clouds Mingqiang Wei‡, Honghua Chen‡, Yingkui Zhang, Haoran Xie, Yanwen Guo, and Jun Wang IEEE TVCG, 2021
	Geometry and Learning Co-Supported Normal Estimation for Unstructured Point Cloud Haoran Zhou‡, Honghua Chen‡, Yidan Feng, Qiong Wang, Jing Qin, Haoran Xie, Fu Lee Wang, Mingqiang Wei, and Jun Wang CVPR, 2020 [code]
	Structure-Guided Shape-Preserving Mesh Texture Smoothing via Joint Low-Rank Matrix Recovery Honghua Chen, Jin Huang, Oussama Remil, Haoran Xie, Jing Qin, Yanwen Guo, Mingqiang Wei, and Jun Wang CAD, 2019
	Multi-Patch Collaborative Point Cloud Denoising via Low-Rank Recovery with Graph Constraint Honghua Chen, Mingqiang Wei, Yangxing Sun, Xingyu Xie, and Jun Wang IEEE TVCG, 2019 [code]
3D Analysis and Industry-Level Application
	PartSAM: A Scalable Promptable Part Segmentation Model Trained on Native 3D Data Zhe Zhu, Le Wan, Rui Xu, Yiheng Zhang, Honghua Chen, Zhiyang Dou, Cheng Lin, Yuan Liu, and Mingqiang Wei ICLR, 2026 [code]
	STAR-Edge: Structure-Aware Local Spherical Curve Representation for Thin-Walled Edge Extraction Zikuan Li‡, Honghua Chen‡, Yuecheng Wang, Sibo Wu, Mingqiang Wei, and Jun Wang CVPR, 2025 [code]
	Aircraft Skin Countersink Primitive Extraction from 3-D Measurement Point Clouds via Deep Clustering and Fitting Mengqi Chen, Laishui Zhou, Yongming Zhang, Honghua Chen, and Jun Wang IEEE TIM, 2024 [data]
	Thin-Walled Aircraft Panel Edge Extraction from 3-D Measurement Surfaces via Feature-Aware Displacement Learning Mengqi Chen, Laishui Zhou, Honghua Chen, and Jun Wang IEEE TIM, 2024 [data]
	Combined Measurement Based Wing-Fuselage Assembly Coordination via Multiconstraint Optimization Yan Wang, Yuanpeng Liu, Honghua Chen, Qian Xie, Kaijun Zhang, and Jun Wang IEEE TIM, 2022
	Multi-Scale Feature Line Extraction from Raw Point Clouds Based on Local Surface Variation and Anisotropic Contraction Honghua Chen, Yaoran Huang, Qian Xie, Yuanpeng Liu, Yuan Zhang, Mingqiang Wei, and Jun Wang IEEE TASE, 2022 [data]
	基于三维点云深度学习的飞机表面多圆孔基元提取方法 陈红华, 魏泽勇, 谢乾, 魏明强, and 汪俊 机械工程学报, 2022
	Aircraft Skin Rivet Detection Based on 3D Point Cloud via Multiple Structures Fitting Qian Xie, Dening Lu, Kunpeng Du, Jinxuan Xu, Jiajia Dai, Honghua Chen, and Jun Wang CAD, 2020

Honors & Awards

Professional Service

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