Shaoli Huang

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I am currently a senior researcher at Tencent AI Lab. I obtained my Ph.D. from the University of Technology Sydney under the supervision of Professor Tao Dacheng and have served as a researcher fellow at the University of Sydney. My research interests lean towards practical applications with a strong emphasis on digital human-related technologies. These include video-based human motion capture, motion generation, and motion retargeting, among others. I am passionate about exploring and developing cutting-edge solutions to drive advancements in these fields.

Project 1: Audio-driven Full-body Motion Generation
This project focuses on generating natural, stable, and rhythmically synchronized full-body motions driven by speech input.The system aims to provide a robust solution for applications in virtual reality, digital entertainment, and human-computer interaction, ensuring high fidelity and realism in audio-driven motion generation. Find more demo videos in hologest.github.io.
Project 2: Visual-based Motion Capture
This project aims to extract high-quality human motion data directly from video input. The extracted motion data can be used for video-driven 2D/3D digital human animation and the creation of large-scale 3D human motion datasets, supporting applications in virtual reality, gaming, and AI-driven character simulation.

news

Dec 10, 2024 One paper accepted by AAAI 2025! :sparkles:
Nov 05, 2024 One paper accepted by 3DV 2025! :sparkles:
Oct 10, 2024 One spotlight paper accepted by NIPS 2024! :sparkles:
Oct 05, 2024 Three papers accepted by WACV 2025! :sparkles:
Jul 01, 2024 Three papers (one Oral) accepted by ECCV 2024! :sparkles:
Apr 30, 2024 One paper accepted by ACM SIGGRAPH 2024. Featured in Technical Papers Video Trailer! :sparkles:
Feb 27, 2024 One spotlight paper accepted by CVPR 2024! :sparkles:
Jan 16, 2024 One paper accepted by ICLR 2024! :sparkles:

selected publications

  1. ECCV
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    Realistic Human Motion Generation with Cross-Diffusion Models
    Zeping Ren, Shaoli Huang, and Xiu Li
    2024
  2. ECCV
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    SignAvatars: A Large-scale 3D Sign Language Holistic Motion Dataset and Benchmark
    Zhengdi Yu, Shaoli Huang, Yongkang Cheng, and Togal Bridal
    2024
  3. SIGGRAPH
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    Taming Diffusion Probabilistic Models for Character Control
    Rui Chen*, Mingyi Shi*Shaoli Huang, Ping Tan, Taku Komura, and Xuelin Chen
    2024
  4. AAAI
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    HuTuMotion: Human-Tuned Navigation of Latent Motion Diffusion Models with Minimal Feedback
    Gaoge Han, Shaoli Huang, Mingming Gong, and Jinglei Tang
    2024
  5. ICLR
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    TapMo: Shape-aware Motion Generation of Skeleton-free Characters
    Jiaxu Zhang*Shaoli Huang*, Zhigang Tu, Xin Chen, Xiaohang Zhan, YU Gang, and Ying Shan
    In , 2024
  6. CVPR
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    Programmable Motion Generation for Open-Set Motion Control Tasks
    Hanchao Liu, Xiaohang ZhanShaoli Huang, Tai-Jiang Mu, and Ying Shan
    2024
  7. ICCV
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    Livelyspeaker: Towards semantic-aware co-speech gesture generation
    Yihao Zhi*, Xiaodong Cun*, Xuelin Chen, Xi Shen, Wen Guo, Shaoli Huang, and Shenghua Gao
    2023
  8. CVPR
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    ACR: Attention collaboration-based regressor for arbitrary two-hand reconstruction
    Zhengdi Yu, Shaoli Huang, Chen Fang, Toby P Breckon, and Jue Wang
    In , 2023
  9. CVPR
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    Learning anchor transformations for 3d garment animation
    Fang Zhao, Zekun Li, Shaoli Huang, Junwu Weng, Tianfei Zhou, Guo-Sen Xie, Jue Wang, and Ying Shan
    In , 2023
  10. CVPR
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    Skinned motion retargeting with residual perception of motion semantics & geometry
    Jiaxu Zhang, Junwu Weng, Di Kang, Fang Zhao, Shaoli Huang, Xuefei Zhe, Linchao Bao, Ying Shan, Jue Wang, and Zhigang Tu
    2023