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

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||
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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.

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

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

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

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

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)