Xuelin Chen | 陈学霖

Research Scientist, Adobe Research
Email: xuelin.chen.3d@gmail.com / Scholar / LinkedIn

Bio

I am a Research Scientist at Adobe Research. Prior to that, I was a Senior Researcher at Tencent AI Lab. Previously, I did my PhD at IRC, Shandong University, and a Postdoc at CFCS, Peking University, working with Prof. Baoquan Chen, Prof. Niloy J. Mitra, and Prof. Daniel Cohen-Or. During my Ph.D study, I also worked as a visiting PhD student in the Smart Geometry Processing Group at University College London (UCL), supervised by Prof. Niloy J. Mitra.

My research interests are in Computer Graphics, Visual Computing, and Deep Learning. Currently, I focus on generative models for creating virtual entities, including objects, scenes, and humans within the virtual universe.

Adobe Research Internship: Looking for student interns for Adobe internship program. If you are interested, please do not hesitate to send me an email. And please also ensure that your supervisor is aware of your internship plans.

Publications

	CraftsMan3D: High-fidelity Mesh Generation with 3D Native Generation and Interactive Geometry Refiner Weiyu Li, Jiarui Liu, Hongyu Yan, Rui Chen, Yixun Liang, Xuelin Chen, Ping Tan, Xiaoxiao Long IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2025 [Project Page]
	DIDiffGes: Decoupled Semi-Implicit Diffusion Models for Real-time Gesture Generation from Speech Yongkang Cheng, Shaoli Huang, Xuelin Chen, Jifeng Ning, Mingming Gong Association for the Advancement of Artificial Intelligence (AAAI) 2025 [Project Page]
	CAMDM: Taming Diffusion Probabilistic Models for Character Control Rui Chen, Mingyi Shi, Shaoli Huang, Ping Tan, Taku Komura, Xuelin Chen† ACM SIGGRAPH 2024 Featured in SIGGRAPH 2024 Technical Papers Trailer! Presented in SIGGRAPH 2024 Emerging Technologies! Press release: [@SIGGRAPH] [@PR Newswire] [@公众号-腾讯AI实验室] [Project Page]
	SweetDreamer: Aligning Geometric Priors in 2D Diffusion for Consistent Text-to-3D Weiyu Li, Rui Chen, Xuelin Chen†, Ping Tan† International Conference on Learning Representations (ICLR) 2024 Press release: [@机器之心] [Project Page]
	C·ASE: Learning Conditional Adversarial Skill Embeddings for Physics-based Characters Zhiyang Dou, Xuelin Chen†, Qingnan Fan, Taku Komura, Wenping Wang ACM SIGGRAPH Asia 2023 [Project Page]
	Scene-aware Activity Program Generation with Language Guidance Zejia Su, Qingnan Fan, Xuelin Chen, Oliver van Kaick, Hui Huang, Ruizhen Hu, ACM Transactions on Graphics (SIGGRAPH Asia 2023) [Project Page]
	GenMM: Example-based Motion Synthesis via Generative Motion Matching Weiyu Li, Xuelin Chen†, Peizhuo Li, Olga Sorkine-Hornung, Baoquan Chen ACM Transactions on Graphics (SIGGRAPH 2023) First SIGGRAPH (ACM Transactions on Graphics) in the history of Tencent AI lab! Invited to be presented at SIGGRAPH 2023 Labs Demo!** [Project Page]
	LivelySpeaker: Towards Semantic-aware Co-speech Gesture Generation Yihao Zhi, Xiaodong Cun, Xuelin Chen, Xi Shen, Wen Guo, Shaoli Huang, Shenghua Gao IEEE International Conference on Computer Vision (ICCV) 2023 [Project Page]
	Patch-based 3D Natural Scene Generation from a Single Example Weiyu Li, Xuelin Chen†, Jue Wang, Baoquan Chen IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023 Press release: [@机器之心]** [Project Page]
	3D-aware Object Goal Navigation via Simultaneous Exploration and Identification Jiazhao Zhang, Liu Dai, Fanpeng Meng, Qingnan Fan, Xuelin Chen, Kai Xu, He Wang IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023 [Project Page]
	SinGRAV: Learning a Generative Radiance Volume from a Single Natural Scene Yujie Wang, Xuelin Chen, Baoquan Chen Computer Graphics International (CGI) 2023 Journal of Computer Science and Technology (JCST) 2024 [Project Page]
	VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects Ruihai Wu, Yan Zhao, Kaichun Mo, Zizheng Guo, Yian Wang, Tianhao Wu, Qingnan Fan, Xuelin Chen, Leonidas Guibas, Hao Dong International Conference on Learning Representations (ICLR) 2022* [Project Page]
	MoCo-Flow: Neural Motion Consensus Flow for Dynamic Humans in Stationary Monocular Cameras Xuelin Chen, Weiyu Li, Daniel Cohen-Or, Niloy J. Mitra, Baoquan Chen Computer Graphics Forum (Eurographics 2022) [Project Page]
	Towards a Neural Graphics Pipeline for Controllable Image Generation Xuelin Chen, Daniel Cohen-Or, Baoquan Chen, Niloy J. Mitra Computer Graphics Forum (Eurographics 2021) [Project Page]
	Multimodal Shape Completion via Conditional Generative Adversarial Networks Rundi Wu, Xuelin Chen, Yixin Zhuang, Baoquan Chen European Conference on Computer Vision (ECCV) 2020, spotlight presentation [Project Page]
	Unpaired Point Cloud Completion on Real Scans Using Adversarial Training Xuelin Chen, Baoquan Chen, Niloy J. Mitra International Conference on Learning Representations (ICLR) 2020 Paper Code
	3D Fabrication with Universal Building Blocks and Pyramidal Shells Xuelin Chen, Honghua Li, Chi-Wing Fu, Hao (Richard) Zhang, Daniel Cohen-Or, Baoquan Chen ACM Transactions on Graphics (SIGGRAPH Asia 2018) [Project Page]
	Dapper: Decompose-and-Pack for 3D Printing Xuelin Chen, Hao Zhang, Jinjie Lin, Ruizhen Hu, Lin Lu, Qixing Huang, Bedrich Benes, Daniel Cohen-Or, Baoquan Chen ACM Transactions on Graphics (SIGGRAPH Asia 2015) [Project Page]
	Build-to-Last: Strength to Weight 3D Printed Objects Lin Lu, Andrei Sharf, Haisen Zhao, Yuan Wei, Qingnan Fan, Xuelin Chen, Yann Savoye, Changhe Tu, Daniel Cohen-Or, Baoquan Chen ACM Transactions on Graphics (SIGGRAPH 2014) [Project Page]
*Equal contribution. †Corresponding author.