Cheng Lin - Homepage

Cheng Lin 林铖

Ph.D., Researcher

chlin@connect.hku.hk

I am a researcher in the field of 3D AIGC. I used to be a senior researcher at Tencent .
I received my Ph.D. in Computer Science from The Univeristy of Hong Kong (HKU), advised by Prof. Wenping Wang. I visited Visual Computing Group at Technical University of Munich (TUM), advised by Prof. Matthias Nießner. Before that, I completed my B.Eng. degree at Shandong University working on geometry and graphics. My research interests include geometric modeling, 3D vision, shape analysis and computer graphics.

I am an organizer and founder member of AnySyn3D, a non-profit research interest group comprising individuals with a strong interest in exploring research problems and cutting-edge technologies in 3D AIGC. If you have any ideas or creativity, or want to discuss any interesting research problems with us, please do not hesitate to contact us immediately.

[Github] [Google Scholar] [Twitter]

Publications

	DreamMat: High-quality PBR Material Generation with Geometry- and Light-aware Diffusion Models Yuqing Zhang, Yuan Liu, Zhiyu Xie, Lei Yang, Zhongyuan Liu, Mengzhou Yang, Runze Zhang, Qilong Kou, Cheng Lin , Wenping Wang, Xiaogang Jin SIGGRAPH 2024 (ACM TOG) [Paper] [Project Page] [Code]
	SyncDreamer: Generating Multiview-consistent Images from a Single-view Image Yuan Liu, Cheng Lin , Zijiao Zeng, Xiaoxiao Long✝, Lingjie Liu, Taku Komura, Wenping Wang✝ ICLR 2024 (Spotlight) [Paper] [Project Page] [Code] [Live Demo]
	Wonder3D: Single Image to 3D using Cross-Domain Diffusion Xiaoxiao Long, Yuanchen Guo, Cheng Lin✝, Yuan Liu, Zhiyang Dou, Lingjie Liu, Yuexin Ma, Song-Hai Zhang, Marc Habermann, Christian Theobalt, Wenping Wang CVPR 2024 (Highlight) [Paper] [Project Page] [Code] [Live Demo]
	Surf-D: High-Quality Surface Generation for Arbitrary Topologies using Diffusion Models Zhengming Yu, Zhiyang Dou, Xiaoxiao Long, Cheng Lin, Zekun Li, Yuan Liu, Norman Müller, Taku Komura, Marc Habermann, Christian Theobalt, Xin Li, Wenping Wang Arxiv 2023 [Paper] [Project Page] [Code]
	TORE: Token Reduction for Efficient Human Mesh Recovery with Transformer Zhiyang Dou, Qingxuan Wu, Cheng Lin, Zeyu Cao, Qiangqiang Wu, Weilin Wan, Taku Komura, Wenping Wang ICCV 2023 [Paper] [Project Page] [Code]
	NeRO: Neural Geometry and BRDF Reconstruction of Reflective Objects from Multiview Images Yuan Liu, Peng Wang, Cheng Lin, Xiaoxiao Long, Jiepeng Wang, Lingjie Liu, Taku Komura, Wenping Wang SIGGRAPH 2023 (ACM TOG) [Paper] [Project Page] [Code]
	NeuralUDF: Learning Unsigned Distance Fields for Multi-view Reconstruction of Surfaces with Arbitrary Topologies Xiaoxiao Long, Cheng Lin✝, Lingjie Liu, Yuan Liu, Peng Wang, Christian Theobalt, Taku Komura, Wenping Wang✝ CVPR 2023 [Paper] [Project Page] [Code]
	SparseNeuS: Fast Generalizable Neural Surface Reconstruction from Sparse Views Xiaoxiao Long, Cheng Lin, Peng Wang, Taku Komura, Wenping Wang ECCV 2022 [Paper] [Project Page] [Code]
	Gen6D: Generalizable Model-Free 6-DoF Object Pose Estimation from RGB Images Yuan Liu, Yilin Wen, Sida Peng, Cheng Lin, Xiaoxiao Long, Taku Komura, Wenping Wang ECCV 2022 [Paper] [Project Page] [Code] [Video]
	3PSDF: Three-Pole Signed Distance Function for Learning Surfaces with Arbitrary Topologies Weikai Chen, Cheng Lin, Weiyang Li, Bo Yang CVPR 2022 [Paper] [Project Page] [Code]
	Coverage Axis: Inner Point Selection for 3D Shape Skeletonization Zhiyang Dou, Cheng Lin, Rui Xu, Lei Yang, Shiqing Xin, Taku Komura, Wenping Wang Eurographics(EG) 2022 [Paper] [Project Page] [Code]
	Adaptive Surface Normal Constraint for Depth Estimation Xiaoxiao Long, Cheng Lin, Lingjie Liu, Wei Li, Christian Theobalt, Ruigang Yang, Wenping Wang ICCV 2021 [Paper] [Code]
	Point2Skeleton: Learning Skeletal Representations from Point Clouds Cheng Lin, Changjian Li, Yuan Liu, Nenglun Chen, Yi-King Choi, Wenping Wang CVPR 2021 (Oral, Best Paper Candidate) [Paper] [Project Page] [Code]
	Learnable Motion Coherence for Correspondence Pruning Yuan Liu, Lingjie Liu, Cheng Lin, Zhen Dong, Wenping Wang CVPR 2021 [Paper] [Project Page] [Code]
	Modeling 3D Shapes by Reinforcement Learning Cheng Lin, Tingxiang Fan, Wenping Wang, Matthias Nießner ECCV 2020 Most discussed CS papers on Twitter [Hot Computer Science] [Paper] [Code] [Video]
	SEG-MAT: 3D Shape Segmentation Using Medial Axis Transform Cheng Lin, Lingjie Liu, Changjian Li, Leif Kobbelt, Bin Wang, Shiqing Xin, Wenping Wang IEEE TVCG 2020 [Paper] [Project Page] [Code] [Executable]
	Floorplan-Jigsaw: Jointly Estimating Scene Layout and Aligning Partial Scans Cheng Lin, Changjian Li, Wenping Wang ICCV 2019 [Paper] [Project Page]
	Image-based Reconstruction of Wire Art Lingjie Liu, Duygu Ceylan, Cheng Lin, Wenping Wang, Niloy J. Mitra SIGGRAPH 2017 (ACM TOG) [Paper] [Project Page] [Code] [Video]
	Supporting easy physical-to-virtual creation of mobile vr maze games: a new genre Wei Gai, Chenglei Yang, Yulong Bian, Chia Shen, Xiangxu Meng, Lu Wang, Juan Liu, Mingda Dong, Chengjie Niu, Cheng Lin CHI 2017 [Paper] [Video]
	A Novel Workbench for Collaboratively Constructing 3D Virtual Environment Cheng Lin, Xiaowen Sun, Chenglei Yue, Chenglei Yang, Wei Gai, Pu Qin, Juan Liu, Xiangxu Meng IIKI 2017 [Paper] [Video]

* indicates equal contribution; ✝ indicates corresponding authors

Talks

Image-based 3D Object Generation with Diffusion Models
Research Center of Digital Medial Technology, Shandong University
April, 2024

3D Digital Content Technology - Representation, Understanding, Creation
CSIG Virtual Reality and HCI Seminar, China Society of Image and Graphics (CSIG)
July, 2022

Geometric Learning and Analysis for High-level Shape Understanding
Tencent AI Lab
October, 2021

Point2Skeleton: Learning Skeletal Representations of Point Clouds
Vision and Learning Seminar (VALSE Webinar)
August, 2021

State-of-the-art Applications of Medial Axis Transform in 3D Vision and Shape Analysis
Advanced Computer Graphics, ShanghaiTech University
March, 2021

Modeling 3D Shapes by Reinforcement Learning
Holistic Scene Structures for 3D Vision, ECCV 2020 Workshop
August, 2020

Services

Journal Reviewer:
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
IEEE Transactions on Visualization and Computer Graphics (TVCG)
IEEE Transactions on Image Processing (TIP)
IEEE Transactions on Medical Imaging (TMI)
IEEE Transactions on Knowledge and Data Engineering (TKDE)
Computer & Graphics (C&G)

Conference Reviewer:
SIGGRAPH AISA 2024, SIGGRAPH 2024, ECCV 2024, CVPR 2024, SIGGRAPH AISA 2023,
SIGGRAPH 2023, ICCV 2023, CVPR 2023, CVPR 2022, SIGGRAPH 2022, ECCV 2022,
3DV 2022, SIGGRAPH AISA 2022

Program Committee Member:
ICVR 2024, GDC 2023

Awards

Tencent Excellent Contributor [2022]

CVPR Best Paper Candidate (First Author) [2021]

Computer Science Postgraduate Scholarship [2016, 2018]

Postgraduate Scholarship [2016-2020]

Google Excellence Scholarship [2015]

President’s Scholarship (the highest honor of the university) [2015]

Baosteel Scholarship [2015]

CCF Top 100 Outstanding CS Students of China [2015]

National Scholarship of China [2013, 2014, 2015]