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pro vyhledávání: '"Lin, Qinwei"'
Recently,3DGaussianSplattinghasshowngreatpotentialin visual Simultaneous Localization And Mapping (SLAM). Existing methods have achieved encouraging results on RGB-D SLAM, but studies of the monocular case are still scarce. Moreover, they also fail t
Externí odkaz:
http://arxiv.org/abs/2405.13748
Neural radiance fields are capable of reconstructing high-quality drivable human avatars but are expensive to train and render and not suitable for multi-human scenes with complex shadows. To reduce consumption, we propose Animatable 3D Gaussian, whi
Externí odkaz:
http://arxiv.org/abs/2311.16482
Autor:
Cong, Runmin, Lin, Qinwei, Zhang, Chen, Li, Chongyi, Cao, Xiaochun, Huang, Qingming, Zhao, Yao
Focusing on the issue of how to effectively capture and utilize cross-modality information in RGB-D salient object detection (SOD) task, we present a convolutional neural network (CNN) model, named CIR-Net, based on the novel cross-modality interacti
Externí odkaz:
http://arxiv.org/abs/2210.02843
The popularity and promotion of depth maps have brought new vigor and vitality into salient object detection (SOD), and a mass of RGB-D SOD algorithms have been proposed, mainly concentrating on how to better integrate cross-modality features from RG
Externí odkaz:
http://arxiv.org/abs/2108.01971
Decentralization has been widely acknowledged as a core virtue of blockchains. However, in the past, there have been few measurement studies on measuring and comparing the actual level of decentralization between existing blockchains using multiple m
Externí odkaz:
http://arxiv.org/abs/2101.10699