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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…