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20242026
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cs.CV2026

Generator-Refiner-Examiner: A Tri-Module Data Augmentation Framework for 3D Human Avatar Learning from Monocular Videos

Gangjian Zhang, Jian Shu, Sicheng Yu +3

This paper addresses the challenge of reconstructing photorealistic and animatable 3D human avatars from monocular videos. While existing methods rely on combining per-subject opti…

cs.CV2026

HDRFace: Rethinking Face Restoration with High-Dimensional Representation

Zirui Wang, Xianhui Lin, Yi Dong +7

Face restoration under complex degradations still remains an ill-posed inverse problem due to severe information loss. Although diffusion models benefit from strong generative prio…

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

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

WaMo: Wavelet-Enhanced Multi-Frequency Trajectory Analysis for Fine-Grained Text-Motion Retrieval

Junlong Ren, Gangjian Zhang, Honghao Fu +2

Text-Motion Retrieval (TMR) aims to retrieve 3D motion sequences semantically relevant to text descriptions. However, matching 3D motions with text remains highly challenging, prim…

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.CV2025

Graph-Guided Scene Reconstruction from Images with 3D Gaussian Splatting

Chong Cheng, Gaochao Song, Yiyang Yao +3

This paper investigates an open research challenge of reconstructing high-quality, large 3D open scenes from images. It is observed existing methods have various limitations, such…

cs.CV2025

Diversified Augmentation with Domain Adaptation for Debiased Video Temporal Grounding

Junlong Ren, Gangjian Zhang, Haifeng Sun +1

Temporal sentence grounding in videos (TSGV) faces challenges due to public TSGV datasets containing significant temporal biases, which are attributed to the uneven temporal distri…

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…