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20242026
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cs.CV2026

MotionGRPO: Overcoming Low Intra-Group Diversity in GRPO-Based Egocentric Motion Recovery

Nanjie Yao, Junlong Ren, Wenhao Shen +1

This paper studies full-body 3D human motion recovery from head-mounted device signals. Existing diffusion-based methods often rely on global distribution matching, leading to loca…

cs.CV2026

MultiGO++: Monocular 3D Clothed Human Reconstruction via Geometry-Texture Collaboration

Nanjie Yao, Gangjian Zhang, Wenhao Shen +3

Monocular 3D clothed human reconstruction aims to generate a complete and realistic textured 3D avatar from a single image. Existing methods are commonly trained under multi-view s…

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

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

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

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…