Zobrazeno 1 - 10
of 368
pro vyhledávání: '"Tu, Zhigang"'
Falling objects from buildings can cause severe injuries to pedestrians due to the great impact force they exert. Although surveillance cameras are installed around some buildings, it is challenging for humans to capture such events in surveillance v
Externí odkaz:
http://arxiv.org/abs/2408.05750
Knowledge distillation (KD) enhances the performance of a student network by allowing it to learn the knowledge transferred from a teacher network incrementally. Existing methods dynamically adjust the temperature to enable the student network to ada
Externí odkaz:
http://arxiv.org/abs/2407.00115
In the realm of skeleton-based action recognition, the traditional methods which rely on coarse body keypoints fall short of capturing subtle human actions. In this work, we propose Expressive Keypoints that incorporates hand and foot details to form
Externí odkaz:
http://arxiv.org/abs/2406.18011
Stylized motion breathes life into characters. However, the fixed skeleton structure and style representation hinder existing data-driven motion synthesis methods from generating stylized motion for various characters. In this work, we propose a gene
Externí odkaz:
http://arxiv.org/abs/2403.11469
Previous motion generation methods are limited to the pre-rigged 3D human model, hindering their applications in the animation of various non-rigged characters. In this work, we present TapMo, a Text-driven Animation Pipeline for synthesizing Motion
Externí odkaz:
http://arxiv.org/abs/2310.12678
We propose PHRIT, a novel approach for parametric hand mesh modeling with an implicit template that combines the advantages of both parametric meshes and implicit representations. Our method represents deformable hand shapes using signed distance fie
Externí odkaz:
http://arxiv.org/abs/2309.14916
Autor:
Zhang, Jiaxu, Weng, Junwu, Kang, Di, Zhao, Fang, Huang, Shaoli, Zhe, Xuefei, Bao, Linchao, Shan, Ying, Wang, Jue, Tu, Zhigang
A good motion retargeting cannot be reached without reasonable consideration of source-target differences on both the skeleton and shape geometry levels. In this work, we propose a novel Residual RETargeting network (R2ET) structure, which relies on
Externí odkaz:
http://arxiv.org/abs/2303.08658
Knowledge distillation is widely adopted in semantic segmentation to reduce the computation cost.The previous knowledge distillation methods for semantic segmentation focus on pixel-wise feature alignment and intra-class feature variation distillatio
Externí odkaz:
http://arxiv.org/abs/2205.03650
Video super-resolution is currently one of the most active research topics in computer vision as it plays an important role in many visual applications. Generally, video super-resolution contains a significant component, i.e., motion compensation, wh
Externí odkaz:
http://arxiv.org/abs/2203.10462
Recent transformer-based solutions have been introduced to estimate 3D human pose from 2D keypoint sequence by considering body joints among all frames globally to learn spatio-temporal correlation. We observe that the motions of different joints dif
Externí odkaz:
http://arxiv.org/abs/2203.00859