Ye Yuan ![](/sites/default/files/person/yeyuan2020.png) Ye Yuan is a research scientist at NVIDIA Research. He received his Ph.D. in Robotics from [Carnegie Mellon University](http://ri.cmu.edu/) (CMU) in 2022, where he worked with Prof. [Kris Kitani](http://www.cs.cmu.edu/~kkitani/). His research lies at the intersection of computer vision, robotics, and machine learning. He is particularly interested in simulation, reinforcement learning, 3D computer vision, generative models, embodied agents, and digital humans. He is a recipient of the [Qualcomm Innovation Fellowship](https://www.qualcomm.com/invention/research/university-relations/innovation-fellowship/2020-north-america) and the [NVIDIA Graduate Fellowship](https://www.nvidia.com/en-us/research/graduate-fellowships/graduate-fellowship-2021/). He has collaborated with Disney Research and Facebook Reality Lab through internships. He received his M.S. in computer science from CMU and B.E. in computer science from Zhejiang University. Personal Website: Research Area(s) [Artificial Intelligence and Machine Learning ](/index.php/research-area/machine-learning-artificial-intelligence) [Computer Vision](/index.php/research-area/computer-vision) [Robotics](/index.php/research-area/robotics) Main Field of Interest [Artificial Intelligence and Machine Learning ](/index.php/research-area/machine-learning-artificial-intelligence) Google Scholar ### Publications ### 2025 [SimAvatar: Simulation-Ready Clothed Gaussian Avatars from Text](/index.php/publication/2025-06_simavatar-simulation-ready-clothed-gaussian-avatars-text) [Xueting Li](/index.php/person/xueting-li), [Ye Yuan](/index.php/person/ye-yuan), [Shalini De Mello](/index.php/person/shalini-de-mello), Gilles Daviet, Jonathan Leaf, Miles Macklin, [Jan Kautz](/index.php/person/jan-kautz), [Umar Iqbal](/index.php/person/umar-iqbal) [IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2025](https://openaccess.thecvf.com/content/CVPR2025/papers/Li_SimAvatar_Simulation-Ready_Avatars_with_Layered_Hair_and_Clothing_CVPR_2025_paper.pdf) [BLADE: Single-view Body Mesh Estimation through Accurate Depth Estimation](/publication/2025-06_blade-single-view-body-mesh-estimation-through-accurate-depth-estimation) Shengze Wang, [Jiefeng Li](/person/jiefeng-li), [Tianye Li](/person/tianye-li), [Ye Yuan](/person/ye-yuan), Henry Fuchs, [Koki Nagano](/person/koki-nagano), [Shalini De Mello](/person/shalini-de-mello), [Michael Stengel](/person/michael-stengel) [IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2025](https://openaccess.thecvf.com/content/CVPR2025/papers/Wang_BLADE_Single-view_Body_Mesh_Estimation_through_Accurate_Depth_Estimation_CVPR_2025_paper.pdf) ### 2024 [GAvatar: Animatable 3D Gaussian Avatars with Implicit Mesh Learning](/index.php/publication/2024-06_gavatar-animatable-3d-gaussian-avatars-implicit-mesh-learning) [Ye Yuan](/index.php/person/ye-yuan), [Xueting Li](/index.php/person/xueting-li), Yangyi Huang, [Shalini De Mello](/index.php/person/shalini-de-mello), [Koki Nagano](/index.php/person/koki-nagano), [Jan Kautz](/index.php/person/jan-kautz), [Umar Iqbal](/index.php/person/umar-iqbal) [IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2024](https://openaccess.thecvf.com/content/CVPR2024/papers/Yuan_GAvatar_Animatable_3D_Gaussian_Avatars_with_Implicit_Mesh_Learning_CVPR_2024_paper.pdf) Highlight ### 2023 [Learning Physically Simulated Tennis Players from Broadcast Videos](/index.php/publication/2023-08_learning-physically-simulated-tennis-players-broadcast-videos) Haotian Zhang, [Ye Yuan](/index.php/person/ye-yuan), Viktor Makoviychuk, Yunrong Guo, Sanja Fidler, Jason Peng, Kayvon Fatahalian [SIGGRAPH 2023 (Best Paper Honorable Mention)](https://s2023.siggraph.org/) [Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion](/publication/2023-06_trace-and-pace-controllable-pedestrian-animation-guided-trajectory-diffusion) Davis Rempe, Zhengyi Luo, Xue Bin Peng, [Ye Yuan](/person/ye-yuan), Kris Kitani, [Karsten Kreis](/person/karsten-kreis), Sanja Fidler, Or Litany [IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023](https://cvpr2023.thecvf.com/) [RGB-Only Reconstruction of Tabletop Scenes for Collision-Free Manipulator Control ](/publication/2023-05_rgb-only-reconstruction-tabletop-scenes-collision-free-manipulator-control) Zhenggang Tang, [Balakumar Sundaralingam](/person/balakumar-sundaralingam), [Jonathan Tremblay](/person/jonathan-tremblay), [Bowen Wen](/person/bowen-wen), [Ye Yuan](/person/ye-yuan), [Stephen Tyree](/person/stephen-tyree), [Charles Loop](/person/charles-loop), Alexander Schwing, [Stan Birchfield](/person/stan-birchfield) [ICRA 2023](https://www.icra2023.org/) ### 2022 [Embodied Scene-aware Human Pose Estimation](/index.php/publication/2022-11_embodied-scene-aware-human-pose-estimation) Zhengyi Luo, Shun Iwase, [Ye Yuan](/index.php/person/ye-yuan), Kris Kitani [NeurIPS 2022](https://nips.cc/Conferences/2022) [GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras](/publication/2022-06_glamr-global-occlusion-aware-human-mesh-recovery-dynamic-cameras) [Ye Yuan](/person/ye-yuan), [Umar Iqbal](/person/umar-iqbal), [Pavlo Molchanov](/person/pavlo-molchanov), Kris Kitani, [Jan Kautz](/person/jan-kautz) IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022 (Ora… [Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent Design](/index.php/publication/2022-04_transform2act-learning-transform-and-control-policy-efficient-agent-design) [Ye Yuan](/index.php/person/ye-yuan), Yuda Song, Zhengyi Luo, Wen Sun, Kris Kitani International Conference on Learning Representations (ICLR) 2022 (Oral)