I graduated from Xiamen University with a bachelor’s degree and HITSZ with a master’s degree, advised by Prof. Xiaojun Wu. Between 2022-2025, I work at Institute for Tongyi Lab , Alibaba Group, as a vision researcher in Hangzhou. In the future, I will work on LLM applications as a member of Ant Group in ChengDu.

🔥 News

  • 2025.10:  🎉🎉 One paper(HyPlaneHead) is accepted by NIPS 2025!
  • 2025.07:  I will become a member of Ant Group this summer. New journey starts!
  • 2025.06:  🎉🎉 One paper is accepted by ICCV 2025!
  • 2025.04:  🎉🎉 Celebrate! Our GitHub project LHM has reached 2000 stars!
  • 2025.02:  🎉🎉 One paper is accepted by CVPR 2025!

📝 Selected Publications

ICCV 2025
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LHM: Large Animatable Human Reconstruction Model for Single Image to 3D in Seconds

Lingteng Qiu*, Xiaodong Gu*, Peihao Li*, Qi Zuo*, Weichao Shen, Junfei Zhang, Kejie Qiu, Weihao Yuan Guanying Chen†, Zilong Dong†, Liefeng Bo

Project|Code|HuggingFace| ModelScope

LHM reconstructs an animatable human avatar in a single feed-forward pass in seconds. The resulting model supports real-time rendering and pose-controlled animation.

CVPR2025
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AniGS: Animatable Gaussian Avatar from a Single Image with Inconsistent Gaussian Reconstruction

Lingteng Qiu*, Shenhao Zhu*, Qi Zuo*, Xiaodong Gu*, Yuan Dong, Junfei Zhang, Chao Xu, Zhe Li, Weihao Yuan, Liefeng Bo, Guanying Chen†, Zilong Dong†

Project|Code

AniGS leverages the power of generative models to produce detailed multi-view canonical pose images, which help resolve ambiguities in animatable human reconstruction.

ECCV2024
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High-Fidelity 3D Textured Shapes Generation by Sparse Encoding and Adversarial Decoding

Qi Zuo*, Xiaodong Gu*, Yuan Dong*, Zhengyi Zhao, Weihao Yuan, Lingteng Qiu, Liefeng Bo, Zilong Dong†

Project

Sparse3D adopts a Sparse Encoding Module for details preservation and an Adversarial Decoding Module for better shape recovery.

CVPR2024 Oral
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GPLD3D: Latent diffusion of 3d shape generative models by enforcing geometric and physical priors

Yuan Dong*, Qi Zuo*, Xiaodong Gu, Weihao Yuan, Zhengyi Zhao, Zilong Dong, Liefeng Bo, Qixing Huang†

Project

A novel latent diffusion shape-generative model regularized by a quality checker that outputs a score of a latent code.

CVPR2024 Highlight
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RichDreamer: A generalizable normal-depth diffusion model for detail richness in text-to-3d

Lingteng Qiu*, Guanying Chen*, Xiaodong G*, Qi Zuo, Mutian Xu, Yushuang Wu, Weihao Yuan, Zilong Dong, Liefeng Bo, Xiaoguang Han†

Project|Code

A novel normal-depth distillation-based latent diffusion generative model.

ICCV2023
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DG3D: Generating High Quality 3D Textured Shapes by Learning to Discriminate Multi-Modal Diffusion-Renderings

Qi Zuo*, Yafei Song, Jianfang Li, Lin Liu, Liefeng Bo†

DG3D incorporates a diffusion-based augmentation module into the min-max game between the 3D tetrahedral mesh generator and 2D renderings discriminators, which stabilizes network optimization and prevents mode collapse in vanilla GANs.

🎖 Honors and Awards

  • 2021.07 x International Challenge of Media AI. ( Champion)
  • 2020.10 AI Fintech Competetion of Webank . (runner-up)
  • 2018.08 NXP(13th) Cup National Undergraduate Intelligent Vehicle Competition. (National First Prize)

📖 Educations

  • 2019.06 - 2022.01, Master, HITSZ.
  • 2015.09 - 2019.06, Undergraduate. Xiamen University.

💻 Working History

  • 2022.01 - 2025.07, Institute of Intelligent Computing, Alibaba.
  • 2021.01 - 2021.08, AI Platform Department, China. (Internship)