Liming Jiang (蒋李鸣)
Research Scientist, Generative AI
ByteDance / TikTok, San Jose, CA, USA

Previously Ph.D., Multimedia Laboratory (MMLab), S-Lab
Nanyang Technological University (NTU), Singapore

Email: liming002 [at] ntu.edu.sg
[Google Scholar]  [GitHub]  [Twitter]

About Me


I am currently a Research Scientist in Generative AI at ByteDance / TikTok, USA. I obtained my Ph.D. degree in Computer Science from Nanyang Technological University (NTU), Singapore, in Dec. 2023. I was affiliated with Multimedia Laboratory (MMLab) and S-Lab, NTU, supervised by Prof. Chen Change Loy. I was a Research Scientist Intern at Adobe Research from May 2023 to Aug. 2023 and at Meta from Aug. 2022 to Jan. 2023. I received my bachelor’s degree from Jilin University in July 2019.
My research interests lie in computer vision, generative models, image and video synthesis with diffusion models, GANs, VAEs, etc.
Please feel free to contact me if you are interested in collaboration / internship / full-time opportunities.

News


  • [04/2024] Join ByteDance / TikTok (USA) as a Research Scientist.
  • [12/2023] One paper is accepted to AAAI 2024.
  • [10/2023] Awarded CVEU Outstanding Reviewer in ICCV 2023.
  • [07/2023] Three papers are accepted to ICCV 2023.
  • [06/2023] One paper is accepted to TPAMI 2023.
  • [05/2023] Join Adobe Research as a Research Scientist Intern.
  • [02/2023] One paper is accepted to CVPR 2023.
  • [09/2022] One paper is accepted to SIGGRAPH Asia 2022 (journal track, ACM TOG 2022).
  • [08/2022] Join Meta as a Research Scientist Intern - CV, AI and Machine Perception (PhD).
  • [07/2022] Invited talk at European Association for Biometrics (EAB) Workshop Digital Face Manipulation & Detection.
  • [07/2022] One paper is accepted to ECCV 2022.
  • [04/2022] One paper is accepted to CVPR 2022 Workshop on Vision Datasets Understanding.
  • [03/2022] Three papers are accepted to CVPR 2022.
  • [09/2021] The paper of APA for training GANs with limited data is accepted to NeurIPS 2021.
  • [07/2021] The paper of Focal Frequency Loss is accepted to ICCV 2021.
  • [06/2021] We organize OpenMMLab Workshop 2021.
  • [02/2021] The technical report of DeeperForensics Challenge 2020 is released on arXiv.
  • [08/2020] We host DeeperForensics Challenge 2020 based on our work DeeperForensics-1.0.
  • [08/2020] We organize ECCV 2020 SenseHuman Workshop.
  • [07/2020] We release our OpenMMLab image and video editing toolbox MMEditing (MMagic)
  • [07/2020] The paper of TSIT is accepted to ECCV 2020 (Spotlight).
  • [02/2020] The paper of DeeperForensics-1.0 is accepted to CVPR 2020.
  • [07/2019] Join Multimedia Laboratory (MMLab), NTU.
  • Experience


    ByteDance / TikTok. San Jose, CA, USA
    Research Scientist
    Apr. 2024 - Present


    Adobe Research. San Jose, CA, USA
    Research Scientist Intern
    May 2023 - Aug. 2023
    Collaborators: Krishna Kumar Singh, Richard Zhang, Yijun Li, Jingwan (Cynthia) Lu


    Meta Platforms, Inc. Redmond, WA, USA
    Research Scientist Intern - CV, AI and Machine Perception (PhD)
    Aug. 2022 - Jan. 2023
    Collaborators: Chen Kong, Justin Theiss, Aayush Prakash, Richard Newcombe


    SenseTime Research. Beijing, China
    Computer Vision Research Intern
    Jan. 2019 - June 2019
    Collaborators: Mingyang Huang, Chunxiao Liu, Jianping Shi

    Publications


    PaintHuman: Towards High-fidelity Text-to-3D Human Texturing via Denoised Score Distillation
    Jianhui Yu, Hao Zhu, Liming Jiang, Chen Change Loy, Weidong Cai,
    Wayne Wu
    AAAI Conference on Artificial Intelligence (AAAI), 2024
    [Paper


    Scenimefy: Learning to Craft Anime Scene via Semi-Supervised Image-to-Image Translation
    Liming Jiang*, Yuxin Jiang*, Shuai Yang, Chen Change Loy
    IEEE International Conference on Computer Vision (ICCV), 2023
    [Paper]  [Project Page]  [GitHub (Code & Dataset) ]


    StyleInV: A Temporal Style Modulated Inversion Network for Unconditional Video Generation
    Yuhan Wang, Liming Jiang, Chen Change Loy
    IEEE International Conference on Computer Vision (ICCV), 2023
    [Paper]  [Project Page]  [GitHub (Code) ]


    StyleGANEX: StyleGAN-Based Manipulation Beyond Cropped Aligned Faces
    Shuai Yang, Liming Jiang, Ziwei Liu, Chen Change Loy
    IEEE International Conference on Computer Vision (ICCV), 2023
    [Paper]  [Project Page]  [GitHub (Code) ]


    Video Infilling with Rich Motion Prior
    Xinyu Hou, Liming Jiang, Rui Shao, Chen Change Loy
    British Machine Vision Conference (BMVC), 2023
    [Paper]  [Supplementary Material]  [Poster]


    GP-UNIT: Generative Prior for Versatile Unsupervised Image-to-Image Translation
    Shuai Yang, Liming Jiang, Ziwei Liu, Chen Change Loy
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
    [Paper]  [Project Page]  [GitHub (Code) ]


    CelebV-Text: A Large-Scale Facial Text-Video Dataset
    Jianhui Yu*, Hao Zhu*, Liming Jiang, Chen Change Loy, Weidong Cai, Wayne Wu
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
    [Paper]  [Project Page]  [GitHub (Dataset & Code) ]


    VToonify: Controllable High-Resolution Portrait Video Style Transfer
    Shuai Yang, Liming Jiang, Ziwei Liu, Chen Change Loy
    ACM Transactions on Graphics (SIGGRAPH Asia), 2022
    (Journal track, selected as a cover image of the TOG issue)
    [Paper]  [Project Page]  [GitHub (Code) ]


    CelebV-HQ: A Large-Scale Video Facial Attributes Dataset
    Hao Zhu*, Wayne Wu*, Wentao Zhu, Liming Jiang, Siwei Tang, Li Zhang, Ziwei Liu, Chen Change Loy
    European Conference on Computer Vision (ECCV), 2022
    [Paper]  [Project Page]  [GitHub (Dataset & Code) ]


    Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer
    Shuai Yang, Liming Jiang, Ziwei Liu, Chen Change Loy
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
    [Paper]  [Project Page]  [GitHub (Code) ]


    Unsupervised Image-to-Image Translation with Generative Prior
    Shuai Yang, Liming Jiang, Ziwei Liu, Chen Change Loy
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
    [Paper]  [Project Page]  [GitHub (Code) ]


    TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing
    Yanbo Xu*, Yueqin Yin*, Liming Jiang, Qianyi Wu, Chengyao Zheng, Chen Change Loy, Bo Dai, Wayne Wu
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
    [Paper]  [Project Page]  [GitHub (Code) ]


    Delving into High-Quality Synthetic Face Occlusion Segmentation Datasets
    Kenny T. R. Voo, Liming Jiang, Chen Change Loy
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2022
    (Best Paper Award in NTU AI Research Student Conference (ARSC), 2022)
    [Paper]  [GitHub (Dataset & Code) ]


    Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data
    Liming Jiang, Bo Dai, Wayne Wu, Chen Change Loy
    Conference on Neural Information Processing Systems (NeurIPS), 2021
    [Paper]  [Project Page]  [GitHub (Code) ]


    Focal Frequency Loss for Image Reconstruction and Synthesis
    Liming Jiang, Bo Dai, Wayne Wu, Chen Change Loy
    IEEE International Conference on Computer Vision (ICCV), 2021
    [Paper]  [Project Page]  [GitHub (Code) ]


    DeepFakes Detection: The DeeperForensics Dataset and Challenge
    Liming Jiang, Wayne Wu, Chen Qian, Chen Change Loy
    Book chapter. In Handbook of Digital Face Manipulation and Detection - From DeepFakes to Morphing Attacks, Springer, 2022
    [Book Link]  [Chapter Link]  [PDF


    DeeperForensics Challenge 2020 on Real-World Face Forgery Detection: Methods and Results
    Liming Jiang, Zhengkui Guo, Wayne Wu, Zhaoyang Liu, Ziwei Liu, Chen Change Loy, et al.
    arXiv preprint, 2021
    [Paper]  [GitHub ]  [Challenge Website]


    TSIT: A Simple and Versatile Framework for Image-to-Image Translation
    Liming Jiang, Changxu Zhang, Mingyang Huang, Chunxiao Liu, Jianping Shi, Chen Change Loy
    European Conference on Computer Vision (ECCV), 2020 (Spotlight)
    [Paper]  [GitHub (Code) ]


    DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection
    Liming Jiang, Ren Li, Wayne Wu, Chen Qian, Chen Change Loy
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
    [Paper]  [Project Page]  [GitHub (Dataset & Code) ]

    Academic Events


  • Conference Reviewer: CVPR 2025, NeurIPS 2024, ECCV 2024, ICML 2024, CVPR 2024, ICLR 2024, NeurIPS 2023, SIGGRAPH Asia 2023, ICCV 2023, CVEU 2023, SIGGRAPH 2023, CVPR 2023, NeurIPS 2022, ECCV 2022, CVPR 2022, AAAI 2022, NeurIPS 2021, ICCV 2021, CVPR 2021.
  • Journal Reviewer: IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), International Journal of Computer Vision (IJCV), IEEE Transactions on Image Processing (TIP), IEEE Transactions on Multimedia (TMM), Computer Vision and Image Understanding (CVIU).
  • Talk at European Association for Biometrics (EAB) Workshop Digital Face Manipulation & Detection.
  • Organizer of OpenMMLab Workshop 2021.
  • Talk at ECCV 2020 SenseHuman Workshop: DeeperForensics Challenge 2020 Briefing.  [YouTube]
  • Organizer of DeeperForensics Challenge 2020.
  • Organizer of ECCV 2020, The 2nd Workshop on Sensing, Understanding and Synthesizing Humans.
  • Competitions


  • ACM-ICPC Asia Regional Contest, Gold Medal, 2017
  • MCM/ICM, Meritorious Winner, 2017
  • China Collegiate Programming Contest (CCPC) of Northeast Area, Gold Medal, 2016
  • The 31st Chinese Physics Olympiad, First Prize, 2014
  • NOIP, First Prize, 2010
  • Honors and Awards


  • CVEU Outstanding Reviewer, ICCV, 2023
  • SDSC Dissertation Research Fellowship (6 recipients in Singapore), Singapore Data Science Consortium, 2021
  • NAP-SUG Research Scholarship, Nanyang Technological University, 2019
  • National Scholarship (top 1%), Ministry of Education of China, 2016, 2018
  • Excellent Student Award (every year), Jilin University, 2016, 2017, 2018
  • CCF Outstanding Student Award (72 students in China), China Computer Federation, 2018
  • Qihoo 360 Scholarship, 2018
  • SenseTime Scholarship (24 students in China), 2017
  • CASC Scholarship, 2017
  • Teaching


    Teaching Assistant of the following courses at Nanyang Technological University (NTU):
  • SC1005: Digital Logic, Fall 2021.
  • AI6126: Advanced Computer Vision, Fall 2020.
  • CE7491: Special Advanced Topic: Digital Image Processing, Fall 2020.
  • CE/CZ4073: Data Science for Business, Spring 2020.
  • CE/CZ1005: Digital Logic, Fall 2019.