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

[08/2025] One paper about articulated 3D object generation was conditionally accepted to SIGGRAPH Asia 2025!
[06/2025] Two papers were accepted to ICCV 2025!
[04/2025] One paper about point cloud denoising was accepted to SIGGRAPH (TOG) 2025, and one paper about geometry feature extraction was accepted to CVPR 2025!
[02/2024] One paper about NeRF inpainting was accepted to CVPR 2024!
[09/2023] Our survey paper about mesh denoising was accepted to ACM TOMM! Please kindly use the released benchmark!
[07/2023] One paper about point cloud completion (when working at NUAA) was accepted to ICCV 2023!
[04/2023] Our paper "Scene Flow Estimation on Point Clouds: A Survey and Prospective Trends " was accepted to Computer Graphics Forum!
[03/2023] Our code and data for RePCD-Net: Feature-aware Recurrent Point Cloud Denoising Network (IJCV 2022) released!
[03/2023] Our code for CSDN: Cross-modal Shape-transfer Dual-refinement Network for Point Cloud Completion (IEEE TVCG 2023) released!
[03/2023] will be updated from now.

Recent Publications (^# corresponding author, ^* joint-first author) [Google Scholar]

	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. arXiv preprint 2025. [code] [Project Page]
	ArtiLatent: Realistic Articulated 3D Object Generation via Structured Latents Honghua Chen, Yushi Lan, Yongwei Chen, and Xingang Pan. SIGGRAPH Asia 2025. [code] [Project Page]
	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. arXiv preprint 2025. [code] [Project Page]
	STAR-Edge: Structure-aware Local Spherical Curve Representation for Thin-walled Edge Extraction from Unstructured Point Clouds Zikuan Li^, Honghua Chen^, Yuecheng Wang, Sibo Wu, Mingqiang Wei, and Jun Wang. CVPR 2025. [code and data]
	RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning Chengyu Zheng, Jin Huang, Honghua Chen^#, and Mingqiang Wei^#. ICCV 2025. [code]
	Textured 3D Regenerative Morphing with 3D Diffusion Prior Songlin Yang, Yushi Lan, Honghua Chen, and Xingang Pan. ICCV 2025. [code] [Project Page]
	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] [Project Page]
	MVIP-NeRF: Multi-view 3D Inpainting on NeRF Scenes via Diffusion Prior Honghua Chen, Chen Change Loy, and Xingang Pan. CVPR 2024. [code]
	Geometric and Learning-based Mesh Denoising: A Comprehensive Survey Honghua Chen, Zhiqi Li, Mingqiang Wei, and Jun Wang. ACM Transactions on Multimedia Computing, Communications and Applications. [data]
	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]

Honors & Awards

中国发明协会发明创新奖一等奖, 2022

National Scholarship in China (the highest scholarship for students in China), 2021

Best Paper Oral Presentation Award, CIDE&DEA, 2020

Stars Innovation Nomination Award, NUAA, 2020

Suzhou Industrial Park Scholarship, NUAA, 2019

Professional Service

CVPR, ECCV, ICCV, SIGGRAPH, IEEE TPAMI/TVCG/TASE/TMM/TNNLS, CAD, Pattern Recognition, The Visual Computer, Computer & Graphics, Measurement, CAD/CG 2020