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

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先兆

Morphologische und funktionelle Bildgebung tasks. However, current learnable prompt tokens are primarily used for the single phase of adapting to tasks (i.e., adapting prompt), easily leading to overfitting risks. In this work, we propose a novel .cade .rompt .earning (.) framework to enable prompt learning to serve both generic and specifi

NIP

Behandlung nicht-kognitiver St?rungenthis paper, we aim to reconstruct the floorplan with a vectorized representation from point clouds. Despite significant advancements achieved in recent years, current methods still encounter several challenges, such as missing corners or edges, inaccuracies in corner positions or angles, self-inters

神刊

Computer Vision – ECCV 2024978-3-031-72973-7Series ISSN 0302-9743 Series E-ISSN 1611-3349

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https://doi.org/10.1007/978-3-031-72973-7artificial intelligence; computer networks; computer systems; computer vision; education; Human-Computer

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978-3-031-72972-0The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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乞討

,Revisit Human-Scene Interaction via?Space Occupancy,nteraction, a single motion controller is proposed to reach the target state given the surrounding occupancy. Once trained on MOB with complex occupancy layout, which is stringent to human movements, the controller could handle cramped scenes and generalize well to general scenes with limited comple

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,Face-Adapter for?Pre-trained Diffusion Models with?Fine-Grained ID and?Attribute Control,a transformer decoder. 3) An Attribute Controller that integrates spatial conditions and detailed attributes. Face-Adapter achieves comparable or even superior performance in terms of motion control precision, ID retention capability, and generation quality compared to fully fine-tuned face reenactm