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Donglai XiangI am a research scientist at NVIDIA. My research interest spans computer graphics and computer vision, with a focus on physics-based simulation, geometry processing, dynamic reconstruction and generation. I obtained my Ph.D. (2023) and M.S. (2019) from Robotics Institute, Carnegie Mellon University, advised by Prof. Jessica Hodgins and Prof. Yaser Sheikh. During my Ph.D. I collaborated extensively with Meta Reality Labs Research in Pittsburgh as a visiting researcher. Previously I obtained a B. Eng. in Electronic Engineering at Tsinghua University, Beijing in 2017. I worked with Prof. Jia Deng at University of Michigan in 2016. Email [xdl13thu at gmail dot com] · CV [updated Jul 2024] · Google Scholar |
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News
- (Jun 2025) We are co-organizing the 1st Workshop on Vision Meets Physics: Synergizing Physical Simulation and Computer Vision at CVPR 2025!
- (Dec 2023) Attending my first in-person SIGGRAPH (Asia). See you in Sydney!
- (Oct 2023) I have joined Nvidia as a full-time research scientist.
- (Nov 2022) Our work "Dressing Avatars" is featured in the SIGGRAPH Asia 2022 trailer!
- (Oct 2021) I am honored to be selected as an outstanding reviwer for CVPR 2021 and ICCV 2021.
- (Apr 2021) I am starting as a visiting researcher at Facebook Reality Labs Research, Pittsburgh for one year.
- (Nov 2020) Our paper on monocular clothing capture received the Best Paper Honorable Mention award at 3DV 2020.
- (Jun 2019) Our paper on monocular total capture has been accepted to CVPR 2019 with oral presentation.
- (Dec 2018) Our paper on monocular total capture is released! Check out our video and paper.
Publications
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PartField: Learning 3D Feature Fields for Part Segmentation and Beyond
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Articulated Kinematics Distillation from Video Diffusion Models
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CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models
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DressRecon: Freeform 4D Human Reconstruction from Monocular Video
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Edify 3D: Scalable High-Quality 3D Asset Generation
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PhysAvatar: Learning the Physics of Dressed 3D Avatars from Visual Observations
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Diffusion Shape Prior for Wrinkle-Accurate Cloth Registration
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Drivable Avatar Clothing: Faithful Full-Body Telepresence |
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Dressing Avatars: Deep Photorealistic Appearance for Physically Simulated Clothing
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Pattern-Based Cloth Registration and Sparse-View Animation
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Modeling Clothing as a Separate Layer for an Animatable Human Avatar
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Revitalizing Optimization for 3D Human Pose and Shape Estimation: |
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MonoClothCap: Towards Temporally Coherent Clothing Capture |
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You2Me: Inferring Body Pose in Egocentric Video via |
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Single-Network Whole-Body Pose Estimation
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Monocular Total Capture: Posing Face, Body and Hands in the Wild
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Surface Normals in the Wild
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Robust Text Detection with Vertically-Regressed Proposal Network
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Experiences
- 2021.4 - 2023.6: Meta Reality Labs Research (RLR), Pittsburgh - Visiting Researcher
- 2020.5 - 2020.12: Facebook Reality Labs Research, Pittsburgh - Research Intern
- 2019.5 - 2019.8: Facebook AI Research, Pittsburgh - Research Intern
- 2016.7 - 2016.9: University of Michigan - Visiting scholar, advised by Jia Deng
- 2016.1 - 2016.6: SenseTime Group Limited, Beijing - Research Intern, advised by Yan Xia
MISC
- I am a violinist for 20+ years and have played in 4 different symphony orchestras. I have also publicly performed chamber music including String Quartet No.12 ("America") by A. Dvořák and String Octet by F. Mendelssohn.
- In my spare time, I do powerlifting, climbing, play badminton and tennis.