Zobrazeno 1 - 10
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pro vyhledávání: '"Fan, Ke"'
Autor:
Fan, Ke, Zhang, Jiangning, Yi, Ran, Gong, Jingyu, Wang, Yabiao, Wang, Yating, Tan, Xin, Wang, Chengjie, Ma, Lizhuang
Text-to-motion generation is a crucial task in computer vision, which generates the target 3D motion by the given text. The existing annotated datasets are limited in scale, resulting in most existing methods overfitting to the small datasets and una
Externí odkaz:
http://arxiv.org/abs/2411.04079
MPI_Alltoallv generalizes the uniform all-to-all communication (MPI_Alltoall) by enabling the exchange of data blocks of varied sizes among processes. This function plays a crucial role in many applications, such as FFT computation and relational alg
Externí odkaz:
http://arxiv.org/abs/2411.02581
Human-human motion generation is essential for understanding humans as social beings. Although several transformer-based methods have been proposed, they typically model each individual separately and overlook the causal relationships in temporal mot
Externí odkaz:
http://arxiv.org/abs/2408.17135
Autor:
Fan, Ke, Bai, Zechen, Xiao, Tianjun, He, Tong, Horn, Max, Fu, Yanwei, Locatello, Francesco, Zhang, Zheng
Object-centric learning (OCL) extracts the representation of objects with slots, offering an exceptional blend of flexibility and interpretability for abstracting low-level perceptual features. A widely adopted method within OCL is slot attention, wh
Externí odkaz:
http://arxiv.org/abs/2406.09196
Autor:
Fan, Ke, Tang, Junshu, Cao, Weijian, Yi, Ran, Li, Moran, Gong, Jingyu, Zhang, Jiangning, Wang, Yabiao, Wang, Chengjie, Ma, Lizhuang
Text-to-motion synthesis is a crucial task in computer vision. Existing methods are limited in their universality, as they are tailored for single-person or two-person scenarios and can not be applied to generate motions for more individuals. To achi
Externí odkaz:
http://arxiv.org/abs/2405.15763
Face meshes in consistent topology serve as the foundation for many face-related applications, such as 3DMM constrained face reconstruction and expression retargeting. Traditional methods commonly acquire topology uniformed face meshes by two separat
Externí odkaz:
http://arxiv.org/abs/2404.05606
Autor:
Chen, Sichen, Zhang, Yingyi, Huang, Siming, Yi, Ran, Fan, Ke, Zhang, Ruixin, Chen, Peixian, Wang, Jun, Ding, Shouhong, Ma, Lizhuang
Recently, transformer-based methods have achieved state-of-the-art prediction quality on human pose estimation(HPE). Nonetheless, most of these top-performing transformer-based models are too computation-consuming and storage-demanding to deploy on e
Externí odkaz:
http://arxiv.org/abs/2404.03518
Creating and animating 3D biped cartoon characters is crucial and valuable in various applications. Compared with geometry, the diverse texture design plays an important role in making 3D biped cartoon characters vivid and charming. Therefore, we foc
Externí odkaz:
http://arxiv.org/abs/2403.16897
Current image manipulation primarily centers on static manipulation, such as replacing specific regions within an image or altering its overall style. In this paper, we introduce an innovative dynamic manipulation task, subject repositioning. This ta
Externí odkaz:
http://arxiv.org/abs/2401.16861
Autor:
Fan, Ke, Lei, Jingshi, Qian, Xuelin, Yu, Miaopeng, Xiao, Tianjun, He, Tong, Zhang, Zheng, Fu, Yanwei
Video amodal segmentation is a particularly challenging task in computer vision, which requires to deduce the full shape of an object from the visible parts of it. Recently, some studies have achieved promising performance by using motion flow to int
Externí odkaz:
http://arxiv.org/abs/2309.13248