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Hi! I am a first-year master at Tsinghua University, majoring in Artificial Intelligence. Now I am doing research advised by Prof. Yansong Tang and Prof. Jiwen Lu at THU-IVG Lab. I received my B.S. degree in Artificial Intelligence from Beijing Normal University in 2024. Before that, I worked as an intern in BNU-IVC Lab advised by Prof. Yongzhen Huang and Prof. Saihui Hou, doing research in the field of gait recognition. My research interests lie in the fields of Human-Robot Interaction. My current research focuses on human mesh recovery and human-object interaction. |
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(*Equal Contribution, #Corresponding Author) |
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Ao Li, Jinpeng Liu, Yixuan Zhu, Yansong Tang IEEE International Conference on Computer Vision (ICCV),2025 Comming Soon We propose ScoreHOI, a framework for human-object interaction reconstruction via score-guided diffusion to enhance the physical plausibility. |
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Yixuan Zhu, Haolin Wang, Ao Li, Wenliang Zhao,Yansong Tang, Jingxuan Niu, Lei Chen, Jie Zhou, Jiwen Lu The Thirteenth International Conference on Learning Representations (ICLR),2025 [Paper] We propose InstaRevive, a straightforward yet powerful image enhancement framework that employs score-based diffusion distillation to harness potent generative capability and minimize the sampling steps. |
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Yixuan Zhu*, Ao Li*, Yansong Tang#, Wenliang Zhao, Jie Zhou, Jiwen Lu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 [arXiv] [Code] [Project Page] We propose a new method to exploit diffusion priors for human mesh recovery (HMR) in occlusion and crowded scenarios. |
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Yixuan Zhu, Wenliang Zhao, Ao Li, Yansong Tang#, Jie Zhou, Jiwen Lu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 Oral Presentation [arXiv] [Code] We proposed a unified framework for various efficient image enhancement tasks with generative diffusion priors. |
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