Jian Shu — accepted AI-conference papers

2026

FastAnimate: Towards Learnable Template Construction and Pose Deformation for Fast 3D Human Avatar Animation

Jian Shu, Nanjie Yao, Gangjian Zhang, Junlong Ren, Yu Feng, Hao Wang

AAAI 2026technical

3D human avatar animation aims at transforming a human avatar from an arbitrary initial pose to a specified target pose using deformation algorithms. Existing approaches typically divide this task into two stages: canonical template construction and target pose deformation. However, current template

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2025

MultiGO: Towards Multi-level Geometry Learning for Monocular 3D Textured Human Reconstruction

Gangjian Zhang, Nanjie Yao, Shunsi Zhang, Hanfeng Zhao, Guoliang Pang, Jian Shu +1

CVPR 2025poster

This paper investigates the research task of reconstructing the 3D clothed human body from a monocular image. Due to the inherent ambiguity of single-view input, existing approaches leverage pre-trained SMPL(-X) estimation models or generative models to provide auxiliary information for human recons…

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