Titlebook: Computer Vision – ECCV 2024; 18th European Confer Aleš Leonardis,Elisa Ricci,Gül Varol Conference proceedings 2025 The Editor(s) (if applic

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/d/image/242342.jpg

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https://doi.org/10.1007/978-3-319-54259-1or different architectures or sizes, . directly learns the continuous . of neural networks. Once trained, we can sample weights for any-sized network directly from the manifold, even for previously unseen configurations, without retraining. To achieve this ambitious goal, . trains neural implicit fu

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https://doi.org/10.1007/978-3-319-54259-1ng and ill-posed problem. In this study, we aim to recover expressive parametric human models (., SMPL-X) and corresponding camera poses jointly, by leveraging the synergy between three critical players: the world, the human, and the camera. Our approach is founded on two key observations. Firstly,

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History of Tourism Development in Turkeyoint-wise annotations for point clouds is time-consuming and laborious. Recent developments in semi-supervised methods seek to mitigate this problem by employing a teacher-student framework to generate pseudo-labels for unlabeled point clouds. However, these pseudo-labels frequently suffer from insu

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Dark Tourism and Its Potential in Turkeybeing limited to textual output, PSALM incorporates a mask decoder and a well-designed input schema to handle a variety of segmentation tasks. This schema includes images, task instructions, conditional prompts, and mask tokens, which enable the model to generate and classify segmentation masks effe

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History of Tourism Development in Turkeysigners experiment with the placement and modification of elements to create aesthetic layouts, however, we observed that current discrete diffusion models (DDMs) struggle to correct inharmonious layouts after they have been generated. In this paper, we first provide novel insights into . phenomenon