  Xueting Li  

 



  ![](/sites/default/files/person/unnamed_0.jpg)

  

 Xueting Li is a research scientist at Nvidia Research in Santa Clara, US. She received her Ph.D. from University of California Merced, advised by [Ming-Hsuan Yang](https://faculty.ucmerced.edu/mhyang/). Her research focuses on computer vision, specifically 3D vision, affordance learning, and self-supervised methods. Xueting received the NVIDIA Graduate Fellowship in 2020 and the Google PhD fellowship in 2021. She received her M.S. from Tsinghua University and B.S.from Beijing University of Posts and Telecommunications.



   Research Area(s)

[Computer Vision](/index.php/research-area/computer-vision)

 

 

  

 Main Field of Interest

[Computer Vision](/index.php/research-area/computer-vision)

 

  

 Google Scholar

[https://scholar.google.com/citations?user=nfXdXswAAAAJ&amp;hl=en](https://scholar.google.com/citations?user=nfXdXswAAAAJ&hl=en)

 

  

 

 

 



 ### Publications

 

### 2025 

[SimAvatar: Simulation-Ready Clothed Gaussian Avatars from Text](/publication/2025-06_simavatar-simulation-ready-clothed-gaussian-avatars-text)

[Xueting Li](/person/xueting-li), [Ye Yuan](/person/ye-yuan), [Shalini De Mello](/person/shalini-de-mello), Gilles Daviet, Jonathan Leaf, Miles Macklin, [Jan Kautz](/person/jan-kautz), [Umar Iqbal](/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)









[Coherent 3D Portrait Video Reconstruction via Triplane Fusion](/publication/2025-06_coherent-3d-portrait-video-reconstruction-triplane-fusion)

Shengze Wang, [Xueting Li](/person/xueting-li), [Chao Liu](/person/chao-liu), Matthew Chan, [Michael Stengel](/person/michael-stengel), Henry Fuchs, [Shalini De Mello](/person/shalini-de-mello), [Koki Nagano](/person/koki-nagano)



[IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2025](https://openaccess.thecvf.com/content/CVPR2025/papers/Wang_Coherent_3D_Portrait_Video_Reconstruction_via_Triplane_Fusion_CVPR_2025_paper.pdf)









### 2024 

[GAvatar: Animatable 3D Gaussian Avatars with Implicit Mesh Learning](/publication/2024-06_gavatar-animatable-3d-gaussian-avatars-implicit-mesh-learning)

[Ye Yuan](/person/ye-yuan), [Xueting Li](/person/xueting-li), Yangyi Huang, [Shalini De Mello](/person/shalini-de-mello), [Koki Nagano](/person/koki-nagano), [Jan Kautz](/person/jan-kautz), [Umar Iqbal](/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





[Dream-in-4D: A Unified Approach for Text- and Image-guided 4D Scene Generation](/publication/2024-06_dream-4d-unified-approach-text-and-image-guided-4d-scene-generation)

Yufeng Zheng, [Xueting Li](/person/xueting-li), [Koki Nagano](/person/koki-nagano), [Sifei Liu](/person/sifei-liu), Otmar Hilliges, [Shalini De Mello](/person/shalini-de-mello)



[IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2024](https://openaccess.thecvf.com/content/CVPR2024/papers/Zheng_A_Unified_Approach_for_Text-_and_Image-guided_4D_Scene_Generation_CVPR_2024_paper.pdf)









[3D Reconstruction with Generalizable Neural Fields using Scene Priors](/publication/2024-05_3d-reconstruction-generalizable-neural-fields-using-scene-priors)

Yang Fu, [Shalini De Mello](/person/shalini-de-mello), [Xueting Li](/person/xueting-li), Amey Kulkarni, [Jan Kautz](/person/jan-kautz), Xiaolong Wang, [Sifei Liu](/person/sifei-liu)



[International Conference on Learning Representations (ICLR) 2024](https://proceedings.iclr.cc/paper_files/paper/2024/hash/0bd32794b26cfc99214b89313764da8e-Abstract-Conference.html)









### 2023 

[Generalizable One-shot 3D Neural Head Avatar](/publication/2023-12_generalizable-one-shot-3d-neural-head-avatar)

[Xueting Li](/person/xueting-li), [Shalini De Mello](/person/shalini-de-mello), [Sifei Liu](/person/sifei-liu), [Koki Nagano](/person/koki-nagano), [Umar Iqbal](/person/umar-iqbal), [Jan Kautz](/person/jan-kautz)



[Advances in Neural Information Processing Systems (NeurIPS) 2023](https://neurips.cc/)









[Affordance Diffusion: Synthesizing Hand-Object Interactions](/publication/2023-06_affordance-diffusion-synthesizing-hand-object-interactions)

Yufei Ye, [Xueting Li](/person/xueting-li), Abhinav Gupta, [Shalini De Mello](/person/shalini-de-mello), [Stan Birchfield](/person/stan-birchfield), Jiaming Song, Shubham Tulsiani, [Sifei Liu](/person/sifei-liu)



[IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023](https://cvpr2023.thecvf.com/)









[Zero-shot Pose Transfer for Unrigged Stylized 3D Characters](/publication/2023-06_zero-shot-pose-transfer-unrigged-stylized-3d-characters)

Jiashun Wang, [Xueting Li](/person/xueting-li), [Sifei Liu](/person/sifei-liu), [Shalini De Mello](/person/shalini-de-mello), Orazio Gallo, Xiaolong Wang, [Jan Kautz](/person/jan-kautz)



[IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023](https://openaccess.thecvf.com/content/CVPR2023/papers/Wang_Zero-Shot_Pose_Transfer_for_Unrigged_Stylized_3D_Characters_CVPR_2023_paper.pdf)









### 2022 

[Learning Continuous Environment Fields via Implicit Functions](/publication/2022-04_learning-continuous-environment-fields-implicit-functions)

[Xueting Li](/person/xueting-li), [Shalini De Mello](/person/shalini-de-mello), Xiaolong Wang, Ming-Hsuan Yang, [Jan Kautz](/person/jan-kautz), [Sifei Liu](/person/sifei-liu)



[International Conference on Learning Representations (ICLR), 2022](https://iclr.cc/Conferences/2022)