collaborators

7 papers

cs.CV2025

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

Jian Shu, Nanjie Yao, Gangjian Zhang +3

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…

cs.CV2025

SAT: Supervisor Regularization and Animation Augmentation for Two-process Monocular Texture 3D Human Reconstruction

Gangjian Zhang, Jian Shu, Nanjie Yao +1

Monocular texture 3D human reconstruction aims to create a complete 3D digital avatar from just a single front-view human RGB image. However, the geometric ambiguity inherent in a…

cs.CV2025

SMPL Normal Map Is All You Need for Single-view Textured Human Reconstruction

Wenhao Shen, Gangjian Zhang, Jianfeng Zhang +4

Single-view textured human reconstruction aims to reconstruct a clothed 3D digital human by inputting a monocular 2D image. Existing approaches include feed-forward methods, limite…

cs.CV2025

Enhanced Partially Relevant Video Retrieval through Inter- and Intra-Sample Analysis with Coherence Prediction

Junlong Ren, Gangjian Zhang, Yu Hu +3

Partially Relevant Video Retrieval (PRVR) aims to retrieve the target video that is partially relevant to the text query. The primary challenge in PRVR arises from the semantic asy…

cs.CV2025

Unify3D: An Augmented Holistic End-to-end Monocular 3D Human Reconstruction via Anatomy Shaping and Twins Negotiating

Nanjie Yao, Gangjian Zhang, Wenhao Shen +2

Monocular 3D clothed human reconstruction aims to create a complete 3D avatar from a single image. To tackle the human geometry lacking in one RGB image, current methods typically…

cs.CV2024

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

Gangjian Zhang, Nanjie Yao, Shunsi Zhang +4

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 approache…