| CARVIEW |
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
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.
Topics of interest include:
- Neural Representations and Rendering for 3D/4D Reconstruction
- Physics-Grounded 3D/4D Reconstruction
- 3D/Video World Simulator
- Physics-based Human Motion Generation
- Humanoid Robotics
- Other topics in Graphics, Vision and Robotics
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 biweekly 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!
[For 2026 PhD Applicants] I am hiring multiple PhD students for 2026. If you’re interested, please apply directly through our Department's application system and list my name as your preferred supervisor (Deadline: December 15, 2025). Due to the high volume of emails regarding applications, I recommend refraining from emailing me directly unless you have a specific question that is not addressed in the application guidelines. We will review all applications from late December 2025 or January 2026, and if you are a good fit for my lab, we will contact you for an interview. Thank you for your interest!
Group Members.
PhD Students:
Visiting PhD Students:
Master, Undergraduate, and Intern Students:
Alumni: ▼ (expand for details)
Professional Activities.
Services:
Associate Editorship:
Program Co-Chair:
Program Committee Member:
Area Chair:
Workshops, Tutorials, and Invited Talks: ▼ (expand for details)
Organizers:
Courses:
Selected Invited Talks:
Awards.
Publications.
(* and † indicate equal contribution)
Recent Preprints:
Pixie: Physics from Pixels
Long Le, Ryan Lucas, Chen Wang, Chuhao Chen, Dinesh Jayaraman, Eric Eaton, Lingjie Liu
[Project Page] [Paper]2025
GECO: Generative Image-to-3D within a SECOnd
Chen Wang, Jiatao Gu, Xiaoxiao Long, Yuan Liu, Lingjie Liu
TVCG 2025
[Project Page] [Paper]
PhysCtrl: Generative Physics for Controllable and Physics-Grounded Video Generation
Chen Wang*, Chuhao Chen*, Yiming Huang, Zhiyang Dou, Yuan Liu, Jiatao Gu, Lingjie Liu
NeurIPS 2025
[Project Page] [Paper]
PhysHMR: Learning Humanoid Control Policies from Vision for Physically Plausible Human Motion Reconstruction
Qiao Feng, Yiming Huang, Yufu Wang, Jiatao Gu, Lingjie Liu
SIGGRAPH Asia 2025
[Project Page] [Paper]
Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation
Xuyi Meng*, Chen Wang*, Jiahui Lei, Kostas Daniilidis, Jiatao Gu, Lingjie Liu
TMLR 2025
[Project Page] [Paper]
CFC: Simulating Character-Fluid Coupling using a Hierarchical World Model
Zhiyang Dou*, Chen Peng*, Xinyu Lu, Xiaohan Ye, Lixing Fang, Yuan Liu, Wenping Wang, Chuang Gan, Lingjie Liu, Taku Komura
SIGGRAPH Asia 2025 (ACM Transactions on Graphics, Journal track, Conditionally Accepted)
ModSkill: Physical Character Skill Modularization
Yiming Huang, Zhiyang Dou, Lingjie Liu
ICCV 2025
[Project Page] [Paper]
DIMO: Diverse 3D Motion Generation for Arbitrary Objects
Linzhan Mou, Jiahui Lei, Chen Wang, Lingjie Liu, Kostas Daniilidis
ICCV 2025 (Highlight)
[Project Page] [Paper] [Video] [Code]
Extrapolated Urban View Synthesis Benchmark
Xiangyu Han, Zhen Jia, Boyi Li, Yan Wang, Boris Ivanovic, Yurong You, Lingjie Liu, Yue Wang, Marco Pavone, Chen Feng, Yiming Li
ICCV 2025
[Project Page] [Paper] [Code]
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
[Project Page] [Paper] [Video]
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]
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]@article{article,
author = {Liu, Lingjie and Xu, Weipeng and Habermann, Marc and Zollhöfer, Michael and Bernard, Florian and Kim, Hyeongwoo and Wang, Wenping and Theobalt, Christian},
year = {2020},
month = {05},
pages = {1-1},
title = {Neural Human Video Rendering by Learning Dynamic Textures and Rendering-to-Video Translation},
volume = {PP},
journal = {IEEE Transactions on Visualization and Computer Graphics},
doi = {10.1109/TVCG.2020.2996594}
}
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]@article{10.1145/3333002,
author = {Liu, Lingjie and Xu, Weipeng and Zollh\"{o}fer, Michael and Kim, Hyeongwoo and Bernard, Florian and Habermann, Marc and Wang, Wenping and Theobalt, Christian},
title = {Neural Rendering and Reenactment of Human Actor Videos},
year = {2019},
issue_date = {November 2019},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
volume = {38},
number = {5},
issn = {0730-0301},
url = {https://doi.org/10.1145/3333002},
doi = {10.1145/3333002},
journal = {ACM Trans. Graph.},
month = oct,
articleno = {Article 139},
numpages = {14},
keywords = {deep learning, rendering-to-video translation, video-based characters, Neural rendering, conditional GAN}
}
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]@inproceedings{ijcai2019-109,
title = {MAT-Net: Medial Axis Transform Network for 3D Object Recognition},
author = {Hu, Jianwei and Wang, Bin and Qian, Lihui and Pan, Yiling and Guo, Xiaohu and Liu, Lingjie and Wang, Wenping},
booktitle = {Proceedings of the Twenty-Eighth International Joint Conference on
Artificial Intelligence, {IJCAI-19}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
pages = {774--781},
year = {2019},
month = {7},
doi = {10.24963/ijcai.2019/109},
url = {https://doi.org/10.24963/ijcai.2019/109},
}
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]@article{Liu:2018:CUF:3272127.3275097,
author = {Liu, Lingjie and Chen, Nenglun and Ceylan, Duygu and Theobalt, Christian and Wang, Wenping and Mitra, Niloy J.},
title = {CurveFusion: Reconstructing Thin Structures from RGBD Sequences},
journal = {ACM Trans. Graph.},
issue_date = {November 2018},
volume = {37},
number = {6},
month = dec,
year = {2018},
issn = {0730-0301},
pages = {218:1--218:12},
articleno = {218},
numpages = {12},
url = {https://doi.acm.org/10.1145/3272127.3275097},
doi = {10.1145/3272127.3275097},
acmid = {3275097},
publisher = {ACM},
address = {New York, NY, USA},
keywords = {L1 axis, RGBD scans, curve reconstruction, data fusion},
}
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]@article{Liu:WireArt:2017,
title = {Image-based Reconstruction of Wire Art,
author = {Lingjie Liu and Duygu Ceylan and Cheng Lin and Wenping Wang and Niloy J. Mitra},
year = {2017},
journal = {{ACM SIGGRAPH 2017}}，
}
Correlation-preserving Photo Collage
Lingjie Liu, Hongjie Zhang, Guanmei Jing, Yanwen Guo, Zhonggui Chen, Wenping Wang
TVCG 2017
[Paper] [Paper (local copy)] [bibtex]@article{7927420,
author={L. Liu and H. Zhang and G. Jing and Y. Guo and Z. Chen and W. Wang},
journal={IEEE Transactions on Visualization and Computer Graphics},
title={Correlation-Preserving Photo Collage},
year={2017},
volume={PP},
number={99},
pages={1-1},
keywords={Computer science;Correlation;Feature extraction;Machine learning;Optimization;Semantics;Shape;Photo collage;image classification;image saliency;irregular shaped packing},
doi={10.1109/TVCG.2017.2703853},
ISSN={1077-2626},
month={},}
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.
2019.10 - 2023.02
Max-Planck-Institute for Informatics
Postdoc
Saarbrucken, Germany
3D Video and Vision-based Graphics Group
Supervised by Prof. Christian Theobalt.
2019.02 - 2019.06
New York University
Visiting Scholar
New York, USA
Courant Institute of Mathematical Sciences
Visited Prof. Daniele Panozzo.
2018.03 - 2019.01
Max-Planck-Institute for Informatics
Intern
Saarbrucken, Germany
3D Video and Vision-based Graphics Group
Visited Prof. Christian Theobalt.
2016.09 - 2017.11
University College London
Visiting Scholar
London, UK
Smart Geometry Processing Group
Visited Prof. Niloy J. Mitra.