Lingjie Liu

Aravind K. Joshi Assistant Professor
Department of Computer and Information Science
University of Pennsylvania

Email: lingjie.liu@seas.upenn.edu | Address: Office 570, Levine Hall, 3330 Walnut Street, Philadelphia, PA 19104-6389

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About Me.

I am the Aravind K. Joshi Assistant Professor in the Department of Computer and Information Science at the University of Pennsylvania, where I lead the Penn Computer Graphics Lab and I am also a member of the General Robotics, Automation, Sensing & Perception (GRASP) Lab.

Previously, I was a Lise Meitner Postdoctoral Research Fellow at Max Planck Institute for Informatics. I received my Ph.D. degree at the University of Hong Kong in 2019.

My research interests are at the interface of Computer Graphics, Computer Vision, and AI, with a focus on Neural Scene Representations, Neural Rendering, Human Performance Modeling and Capture, and 3D Reconstruction. I am especially excited about exploring a new genre of 3D reconstruction and rendering algorithms for human characters and general scenes, which combine classical computer graphics pipelines with deep learning techniques.

My long-term vision is to develop AI technologies that can perceive, understand and interact with 3D objects, people, and environments. Specifically, my research will pursue three goals:

(1) High-quality 3D reconstruction of real-world scenes from sparse inputs;

(2) Efficient and photo-realistic image synthesis of real-world scenes with 3D control;

(3) Large-scale 3D scene generation.

Prospective Students.

There are multiple open research positions in my Lab. Currently, we are actively looking for summer interns and visiting students.

Topics of interest include:

  1. Neural Representations and Rendering for 3D/4D Reconstruction
  2. 3D/4D Generative Models
  3. Physics-aware 3D/4D Reconstruction and Generation; Physics Simulation
  4. Physics-based Human Motion Generation
  5. LLM guided Graphics and Vision
  6. Neural Representations for Robotics
  7. Other topics in Graphics and Vision

If you are interested in visiting or applying for a research position (e.g., intern, PhD, visiting PhD, or postdoc) in the lab, please fill in the form. We review the form submissions on a weekly basis. You will be contacted if a fit can be found. Due to the high volume of emails regarding applications, please refrain from emailing me directly. Thank you!

Group Members.

PhD Students:
  • Chen Wang (Meshy AI Fellowship 2025 Outstanding Prize Recipient)
  • Yiming Huang
  • Qiao Feng (Meshy AI Fellowship 2025 Finalist)


    • Master and Undergraduate Students:
  • Heguang Lin (Master)
  • Xuyi Meng (Master)
  • Nithasree Somanathan (Master)
  • Qingxuan Wu (Master)
  • Yunzhou Song (Master, co-advised with Kostas Daniilidis and Jiahui Lei)
  • Daniel Alexander (Master)
  • Daniel Mika (Undergrad)
  • Chuhao Chen (Intern)
  • Xiaoye Zuo (Intern)

    • Professional Activities.

    Services:
    Associate Editorship:
  • IEEE TVCG (2023 - )
    • Program Committee Member:
  • ACM SIGGRAPH 2022, 2023, 2025
  • ACM SIGGRAPH Asia 2023
  • Pacific Graphics 2022, 2023
    • Area Chair:
  • CVPR 2024, 2025
  • ICCV 2025
  • 3DV 2024

    • Organizers:
  • 3DV'26, Program Co-Chair
  • ACM SCA'25, Program Co-Chair
  • Eurographics'25, Doctoral Consortium Co-Chair
  • Workshop on Neural Fields Beyond Conventional Cameras, ECCV'24
  • Workshop on Wild 3D: 3D Modeling, Reconstruction, and Generation in the Wild, ECCV'24
  • Workshop on Generative Models for Computer Vision, CVPR'24
  • Workshop on AI for Content Creation Workshop, CVPR'24
  • Eurographics'24, Posters Co-Chair
  • Workshop on Generative Models for Computer Vision, CVPR'23
  • Workshop on AI for Content Creation Workshop, CVPR'23
  • Workshop on 3D Generative Models, Banff International Research Station for Mathematical Innovation and Discovery (BIRS)'23

    • Courses:
  • Neural Actor: Neural Free-view Synthesis of Human Actors with Pose Control, Tutorial in 3DV 2021 Course on Advances in Neural Rendering .
  • Fast Rendering of Neural Radiance Fields, Tutorial in SIGGRAPH 2021 Course on Advances in Neural Rendering .

    • Selected Invited Talks:
  • High-Fidelity Human Pose Tracking and Realistic Motion Synthesis in Real-World Scenes, Keynote at ACM MIG'24.
  • Human Pose Tracking and Controllable Motion Generation, ECCV'24 workshop on Scalable 3D Scene Generation and Geometric Scene Understanding.
  • Efficient Creation of Photo-realistic Controllable Human Characters, CVPR'24 workshop on The 1st Workshop on Neural Volumetric Video.
  • Tracking and Segmentation for Non-Static Scene Reconstruction, CVPR'24 Workshop on ScanNet++ .
  • Generalized 3D Reconstruction, CVPR'24 Workshop on XRNeRF: Second Workshop on Advances in Radiance Fields for the Metaverse.
  • Generalized 3D Reconstruction, Keynote at 3DV 2024 [Recording].
  • Reconstruction of 3D Real-world Scenes, ICCV'23 Workshop on NeRF4ADR: Neural Fields for Autonomous Driving and Robotics.
  • Neural Representations of 3D Real-world Scenes, IROS'23 Workshop on Robotic Perception and Mapping.
  • Neural Representation and Neural Rendering of 3D Real-world Scenes, Toronto Geometry Colloquium [Recording].
  • New Methods for Reconstruction and Rendering of 3D Real-world Scenes, GAMES Webinar [Recording (Chinese)].

    • Publications.

    (* and † indicate equal contribution)

    Recent Preprints:

    ModSkill: Physical Character Skill Modularization

    Yiming Huang, Zhiyang Dou, Lingjie Liu

    [Project Page] [Paper]
    GECO: Generative Image-to-3D within a SECOnd

    Chen Wang, Jiatao Gu, Xiaoxiao Long, Yuan Liu, Lingjie Liu

    [Project Page] [Paper]




    2025

    Vid2Sim: Generalizable, Video-based Reconstruction of Appearance, Geometry and Physics for Mesh-free Simulation

    Chuhao Chen, Zhiyang Dou, Chen Wang, Yiming Huang, Anjun Chen, Qiao Feng, Jiatao Gu, Lingjie Liu

    CVPR 2025

    [Paper (coming soon)]
    Ego4o: Egocentric Human Motion Capture and Understanding from Multi-Modal Input

    Jian Wang, Rishabh Dabral, Diogo Luvizon, Zhe Cao, Lingjie Liu, Thabo Beeler, Christian Theobalt

    CVPR 2025

    [Paper (coming soon)]
    DICE: End-to-end Deformation Capture of Hand-Face Interactions from a Single Image

    Qingxuan Wu, Zhiyang Dou†, Sirui Xu, Soshi Shimada, Chen Wang, Zhengming Yu, Yuan Liu, Cheng Lin, Zeyu Cao, Taku Komura, Vladislav Golyanik, Christian Theobalt, Wenping Wang, Lingjie Liu†

    ICLR 2025

    [Paper]
    RealmDreamer: Text-Driven 3D Scene Generation with Inpainting and Depth Diffusion

    Jaidev Shriram*, Alex Trevithick*, Lingjie Liu, Ravi Ramamoorthi

    3DV 2025

    [Project Page] [Paper] [Code]

    2024

    CBIL: Collective Behavior Imitation Learning for Fish from Real Videos

    Yifan Wu*, Zhiyang Dou*, Yuko Ishiwaka, Shun Ogawa, Yuke Lou, Wenping Wang, Lingjie Liu, Taku Komura

    SIGGRAPH Asia 2024 (ACM Transactions on Graphics, Journal track)

    [Project Page]
    CoMo: Controllable Motion Generation through Language Guided Pose Code Editing

    Yiming Huang, Weilin Wan, Yue Yang, Chris Callison-Burch, Mark Yatskar, Lingjie Liu

    ECCV 2024

    [Project Page] [Paper]
    TLControl: Trajectory and Language Control for Human Motion Synthesis

    Weilin Wan, Zhiyang Dou, Taku Komura, Wenping Wang, Dinesh Jayaraman†, Lingjie Liu†

    ECCV 2024

    [Project Page] [Paper] [Video]
    EMDM: Efficient Motion Diffusion Model for Fast, High-Quality Human Motion Generation

    Wenyang Zhou, Zhiyang Dou†, Zeyu Cao, Zhouyingcheng Liao, Jingbo Wang, Wenjia Wang, Yuan Liu, Taku Komura, Wenping Wang, Lingjie Liu

    ECCV 2024

    [Project Page] [Paper]
    TRAM: Global Trajectory and Motion of 3D Humans from in-the-wild Videos

    Yufu Wang, Ziyun Wang, Lingjie Liu, Kostas Daniilidis

    ECCV 2024

    [Project Page] [Paper] [Code]
    Track Everything Everywhere Fast and Robustly

    Yunzhou Song*, Jiahui Lei*, Ziyun Wang, Lingjie Liu, Kostas Daniilidis

    ECCV 2024

    [Project Page] [Paper] [Code]
    BOOT: Data-free Distillation of Denoising Diffusion Models with Bootstrapping

    Jiatao Gu, Chen Wang, Shuangfei Zhai, Yizhe Zhang, Lingjie Liu, Josh Susskind

    ICML 2024

    [Project Page] [Paper]
    DressCode: Autoregressively Sewing and Generating Garments from Text Guidance

    Kai He, Kaixin Yao, Qixuan Zhang, Jingyi Yu†, Lingjie Liu†, Lan Xu†

    SIGGRAPH 2024 (ACM Transactions on Graphics, Journal track, Best Paper Honorable Mention)

    [Project Page] [Paper] [Code]
    NeRF-HuGS: Improved Neural Radiance Fields in Non-static Scenes Using Heuristics-Guided Segmentation

    Jiahao Chen, Yipeng Qin, Lingjie Liu, Jiangbo Lu, Guanbin Li

    CVPR 2024 (Oral)

    [Project Page] [Paper] [Code]
    GART: Gaussian Articulated Template Models

    Jiahui Lei, Yufu Wang, Georgios Pavlakos, Lingjie Liu, Kostas Daniilidis

    CVPR 2024 (Highlight)

    [Project Page] [Paper] [Code]
    Wonder3D: Single Image to 3D using Cross-Domain Diffusion

    Xiaoxiao Long*, Yuan-Chen Guo*, Cheng Lin, Yuan Liu, Zhiyang Dou, Lingjie Liu, Yuexin Ma, Song-Hai Zhang, Marc Habermann, Christian Theobalt, Wenping Wang

    CVPR 2024 (Highlight)

    [Project Page] [Paper]
    Egocentric Full Body Motion Capture with FisheyeViT and Diffusion-Based Motion Refinement

    Jian Wang, Zhe Cao, Diogo Luvizon, Lingjie Liu, Kripasindhu Sarkar, Danhang Tang, Thabo Beeler, Christian Theobalt

    CVPR 2024

    [Project Page] [Paper] [Code]
    Holodeck: Language Guided Generation of 3D Embodied AI Environments

    Yue Yang, Fan-Yun Sun, Luca Weihs, Eli VanderBilt, Alvaro Herrasti, Winson Han, Jiajun Wu, Nick Haber, Ranjay Krishna, Lingjie Liu, Chris Callison-Burch, Mark Yatskar, Aniruddha Kembhavi, Christopher Clark

    CVPR 2024

    [Project Page] [Paper] [Code]
    State of the Art on Diffusion Models for Visual Computing

    R. Po, W. Yifan, V. Golyanik, K. Aberman, J. Barron, A. Bermano, E. Chan, T. Dekel, A. Holynski, A. Kanazawa, K. Liu, L. Liu, B. Mildenhall, M. Nießner, B. Ommer, C. Theobalt, P. Wonka, G. Wetzstein

    Eurographics 2024 STAR Program

    [Survey Paper]
    Initializing Models with Larger Ones

    Zhiqiu Xu, Yanjie Chen, Kirill Vishniakov, Yida Yin, Zhiqiang Shen, Trevor Darrell, Lingjie Liu, Zhuang Liu

    ICLR 2024 (Spotlight)

    [Paper]
    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)

    [Project Page] [Paper]
    Learning Controllable 3D Diffusion Models from Single-view Images

    Jiatao Gu, Qingzhe Gao, Shuangfei Zhai, Baoquan Chen, Lingjie Liu, Josh Susskind

    3DV 2024

    [Project Page] [Paper]




    2023

    DELIFFAS: Deformable Light Fields for Fast Avatar Synthesis

    Youngjoong Kwon, Lingjie Liu, Henry Fuchs, Marc Habermann, Christian Theobalt

    NeurIPS 2023

    [Project Page] [Paper]
    DreamEditor: Text-Driven 3D Scene Editing with Neural Fields

    Jingyu Zhuang*, Chen Wang*, Liang Lin, Lingjie Liu, Guanbin Li

    SIGGRAPH Asia 2023

    [Paper]
    HDHumans: A Hybrid Approach for High-fidelity Digital Humans

    Marc Habermann, Lingjie Liu, Weipeng Xu, Gerard Pons-Moll, Michael Zollhoefer, Christian Theobalt

    ACM SCA 2023 (Best Paper Honorable Mention)

    [Project Page] [Paper]
    Neural Novel Actor: Learning a Generalized Animatable Neural Representation for Human Actors

    Qingzhe Gao*, Yiming Wang*, Libin Liu, Lingjie Liu, Christian Theobalt, Baoquan Chen

    TVCG 2023

    [Project Page] [Paper]
    Multimodal Image Synthesis and Editing: A Survey

    Fangneng Zhan, Yingchen Yu, Rongliang Wu, Jiahui Zhang, Shijian Lu, Lingjie Liu, Adam Kortylewski, Christian Theobalt, Eric Xing

    TPAMI 2023

    [Project Page] [Paper]
    NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction

    Yiming Wang*, Qin Han*, Marc Habermann, Kostas Daniilidis, Christian Theobalt, Lingjie Liu

    ICCV 2023

    [Project Page] [Paper] [Code]
    Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction

    Hansheng Chen, Jiatao Gu, Anpei Chen, Wei Tian, Zhuowen Tu, Lingjie Liu, Hao Su

    ICCV 2023

    [Project Page] [Paper]
    NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion

    Jiatao Gu, Alex Trevithick, Kai-En Lin, Josh Susskind, Christian Theobalt, Lingjie Liu, Ravi Ramamoorthi

    ICML 2023

    [Project Page] [Paper]
    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 Transactions on Graphics, Journal track)

    [Project Page] [Paper] [Code] [Model & Dataset]
    Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold

    Xingang Pan, Ayush Tewari, Thomas Leimkühler, Lingjie Liu, Abhimitra Meka, Christian Theobalt

    SIGGRAPH 2023

    [Project Page] [Paper] [Code]
    F2-NeRF: Fast Neural Radiance Field Training with Free Camera Trajectories

    Peng Wang*, Yuan Liu*, Zhaoxi Chen, Lingjie Liu, Ziwei Liu, Taku Komura, Christian Theobalt, Wenping Wang

    CVPR 2023 (highlight)

    [Project Page] [Paper] [Code] [Data]
    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

    [Project Page] [Paper] [Code]
    Scene-aware Egocentric 3D Human Pose Estimation

    Jian Wang, Diogo Luvizon, Weipeng Xu, Lingjie Liu, Kripasindhu Sarkar, Christian Theobalt

    CVPR 2023

    [Project Page] [Paper] [Code] [Data]
    General Neural Gauge Fields

    Fangneng Zhan, Lingjie Liu, Adam Kortylewski, Christian Theobalt

    ICLR 2023

    [Project Page] [Paper] [Code] [Data]




    2022

    GAN2X: Non-Lambertian Inverse Rendering of Image GANs

    Xingang Pan, Ayush Tewari, Lingjie Liu, Christian Theobalt

    3DV 2022

    [Project Page] [Paper]
    NeuRIS: Neural Reconstruction of Indoor Scenes Using Normal Priors

    Jiepeng Wang, Peng Wang, Xiaoxiao Long, Christian Theobalt, Taku Komura, Lingjie Liu, Wenping Wang

    ECCV 2022

    [Project Page] [Paper] [Code]
    NeRF for Outdoor Scene Relighting

    Viktor Rudnev, Mohamed Elgharib, William Smith, Lingjie Liu, Vladislav Golyanik, Christian Theobalt

    ECCV 2022

    [Project page] [Paper] [Code] [Data]
    Physics Informed Neural Fields for Smoke Reconstruction with Sparse Data

    Mengyu Chu, Lingjie Liu, Quan Zheng, Erik Franz, Hans-Peter Seidel, Christian Theobalt, Rhaleb Zayer

    SIGGRAPH 2022 (ACM Transactions on Graphics, Journal track)

    [Project page] [Paper]
    Estimating Egocentric 3D Human Pose in the Wild with External Weak Supervision

    Jian Wang, Lingjie Liu, Weipeng Xu, Kripasindhu Sarkar, Diogo Luvizon, Christian Theobalt

    CVPR 2022

    [Project page] [Paper] [Dataset]
    Progressively-connected Light Field Network for Efficient View Synthesis

    Peng Wang, Yuan Liu, Guying Lin, Jiatao Gu, Lingjie Liu, Taku Komura, Wenping Wang

    Arxiv 2022

    [Paper]
    Neural Rays for Occlusion-aware Image-based Rendering

    Yuan Liu, Sida Peng, Lingjie Liu, Qianqian Wang, Peng Wang, Christian Theobalt, Xiaowei Zhou, Wenping Wang

    CVPR 2022

    [Project page] [Paper] [Code]
    Learn to Predict How Humans Manipulate Large-Sized Objects From Interactive Motions

    Weilin Wan, Lei Yang, Lingjie Liu, Zhuoying Zhang, Ruixing Jia, Yi-King Choi, Jia Pan, Christian Theobalt,Taku Komura, Wenping Wang

    IEEE Robotics and Automation Letters 2022 (Presented at ICRA 2022)

    [Project page] [Paper] [Data]
    StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesis

    Jiatao Gu, Lingjie Liu, Peng Wang, Christian Theobalt

    ICLR 2022

    [Project page] [Paper] [Code]




    2021

    NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

    Peng Wang, Lingjie Liu, Yuan Liu, Christian Theobalt, Taku Komura, Wenping Wang

    NeurIPS 2021 (Spotlight)

    [Project page] [Paper] [Code]
    Neural Actor: Neural Free-view Synthesis of Human Actors with Pose Control

    Lingjie Liu, Marc Habermann, Viktor Rudnev, Kripasindhu Sarkar, Jiatao Gu, Christian Theobalt

    SIGGRAPH Asia 2021

    [Project page] [Paper] [Video] [Code] [Data]
    Direct Dense Pose Estimation

    Liqian Ma, Lingjie Liu, Christian Theobalt Luc Van Gool

    3DV 2021

    [Project page] [Paper]
    Estimating Egocentric 3D Human Pose in Global Space

    Jian Wang, Lingjie Liu, Weipeng Xu, Kripasindhu Sarkar, Christian Theobalt

    ICCV 2021 (Oral)

    [Project page] [Paper]
    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]
    Efficient and Differentiable Shadow Computation for Inverse Problems

    Linjie Lyu, Marc Habermann, Lingjie Liu, Mallikarjun B R, Ayush Tewari, Christian Theobalt

    ICCV 2021

    [Project page] [Paper] [Video]
    EgoRenderer: Rendering Human Avatars from Egocentric Camera Images

    Tao Hu, Kripasindhu Sarkar, Lingjie Liu, Matthias Zwicker, Christian Theobalt

    ICCV 2021

    [Project page]
    Real-time Deep Dynamic Characters

    Marc Habermann, Lingjie Liu, Weipeng Xu, Michael Zollhoefer, Gerard Pons-Moll, Christian Theobalt

    SIGGRAPH 2021

    [Project page] [Paper] [Video]
    Style and Pose Control for Image Synthesis of Humans from a Single Monocular View

    Kripasindhu Sarkar, Vladislav Golyanik, Lingjie Liu, Christian Theobalt

    Arxiv 2021

    [Project page] [Paper]
    Learning Speech-driven 3D Conversational Gestures from Video

    Ikhsanul Habibie, Weipeng Xu, Dushyant Mehta, Lingjie Liu, Hans-Peter Seidel, Gerard Pons-Moll, Mohamed Elgharib, Christian Theobalt

    ACM International Conference on Intelligent Virtual Agents (IVA) 2021 (Best Paper Award)

    [Project page] [Paper]
    HumanGAN: A Generative Model of Human Images

    Kripasindhu Sarkar, Lingjie Liu, Vladislav Golyanik, Christian Theobalt

    3DV 2021 (Oral)

    [Project page] [Paper]
    Pose-Guided Human Animation from a Single Image in the Wild

    Jae Shin Yoon, Lingjie Liu, Vladislav Golyanik, Kripasindhu Sarkar, Hyun Soo Park, Christian Theobalt

    CVPR 2021

    [Project page] [Paper] [Video]
    Learnable Motion Coherence for Correspondence Pruning

    Yuan Liu, Lingjie Liu, Cheng Lin, Zhen Dong, Wenping Wang

    CVPR 2021

    [Paper]
    Multi-view Depth Estimation using Epipolar Spatio-Temporal Networks

    Xiaoxiao Long, Lingjie Liu, Wei Li, Christian Theobalt, Wenping Wang

    CVPR 2021

    [Paper]




    2020

    Neural Sparse Voxel Fields

    Lingjie Liu*, Jiatao Gu*, Kyaw Zaw Lin, Tat-Seng Chua, Christian Theobalt

    NeurIPS 2020 (Spotlight)

    [Project page] [Paper] [Code & Data] [Video] [Slides]
    SEG-MAT: 3D Shape Segmentation Using Medial Axis Transform

    Cheng Lin, Lingjie Liu, Changjian Li, Leif Kobbelt, Bin Wang, Shiqing Xin, Wenping Wang

    TVCG 2020

    [Project page] [Paper] [Code & Data]
    MulayCap: Multi-layer Human Performance Capture Using A Monocular Video Camera

    Zhaoqi Su, Weilin Wan, Tao Yu , Lingjie Liu, Lu Fang, Wenping Wang, Yebin Liu

    TVCG 2020

    [Project page] [Paper]
    Occlusion-Aware Depth Estimation with Adaptive Normal Constraints

    Xiaoxiao Long, Lingjie Liu, Christian Theobalt, Wenping Wang

    ECCV 2020

    [Project page] [Paper] [Video] [Code]
    Vid2Curve: Simultaneous Camera Motion Estimation and Thin Structure Reconstruction from an RGB Video

    Peng Wang, Lingjie Liu, Nenglun Chen, Hung-Kuo Chu, Christian Theobalt, Wenping Wang

    SIGGRAPH 2020

    [Project page] [Paper] [Video] [Code]
    Unsupervised Learning of Intrinsic Structural Representation Points

    Nenglun Chen, Lingjie Liu, Zhiming Cui, Runnan Chen, Duygu Ceylan, Changhe Tu, Wenping Wang

    CVPR 2020

    [Project page] [Paper] [Code]
    Neural Human Video Rendering by Learning Dynamic Textures and Rendering-to-Video Translation

    Lingjie Liu, Weipeng Xu, Marc Habermann, Michael Zollhöfer, Florian Bernard, Hyeongwoo Kim, Wenping Wang, Christian Theobalt

    TVCG 2020

    [Project page] [Paper] [Video] [bibtex]




    2019

    Neural Animation and Reenactment of Human Actor Videos

    Lingjie Liu, Weipeng Xu, Michael Zollhöfer, Hyeongwoo Kim, Florian Bernard, Marc Habermann, Wenping Wang, Christian Theobalt

    ACM Transactions on Graphics (TOG) 2019

    [Project page] [Paper] [Video] [Media] [bibtex]
    MAT-Net: Medial Axis Transform Network for 3D Object Recognition

    Jianwei Hu, Bin Wang, Lihui Qian, Yiling Pan, Xiaohu Guo, Lingjie Liu, Wenping Wang

    IJCAI 2019

    [Paper] [bibtex]




    2018

    CurveFusion: Reconstructing Thin Structures from RGBD Sequences

    Lingjie Liu*, Nenglun Chen*, Duygu Ceylan, Christian Theobalt, Wenping Wang, Niloy J. Mitra

    SIGGRAPH Asia 2018

    [Project page] [Paper] [Code] [Data] [Video] [bibtex]




    2017

    Image-based Reconstruction of Wire Art

    Lingjie Liu, Duygu Ceylan, Cheng Lin, Wenping Wang, Niloy J. Mitra

    SIGGRAPH 2017

    [Project page] [Paper] [Code] [Video] [bibtex] [Media]
    Correlation-preserving Photo Collage

    Lingjie Liu, Hongjie Zhang, Guanmei Jing, Yanwen Guo, Zhonggui Chen, Wenping Wang

    TVCG 2017

    [Paper] [Paper (local copy)] [bibtex]

    Education.

    2014-2019

    The University of Hong Kong

    Ph.D, Computer Science

    Hong Kong, China

    Supervised by Prof. Wenping Wang.

    2010-2014

    Huazhong University of Science and Technology

    BEng, Computer Science and Technology

    Wuhan, China

    Research Experience.

    2019

    New York University

    Visiting Scholar

    New York, USA

    Courant Institute of Mathematical Sciences

    Visited Prof. Daniele Panozzo at New York University from Feb 2019 to June 2019.

    2018-2019

    Max-Planck-Institute for Informatics

    Intern

    Saarbrucken, Germany

    3D Video and Vision-based Graphics Group

    Visited Prof. Christian Theobalt at Max-Planck-Institute for Informatics from March 2018 to Jan 2019.

    2016-2017

    University College London

    Visiting Scholar

    London, UK

    Smart Geometry Processing Group

    Visited Prof. Niloy J. Mitra at UCL from Sept 2016 to Jan 2017, and from May 2017 to Nov 2017.