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

Constituent

,Learned Neural Physics Simulation for Articulated 3D Human Pose Reconstruction,nvenient alternative to traditional physics simulators for use in computer vision tasks such as human motion reconstruction from video. To that end we introduce a training procedure and model components that support the construction of a recurrent neural architecture to accurately learn to simulate

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/d/image/242303.jpg

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J. C. Braekman,D. Daloze,J. M. Pasteelsimal samples poses a significant challenge. This requires a method that can both capture the broad diversity and the true characteristics of the target domain distribution. We present . (CRDI), an innovative ‘training-free’ approach designed to enhance distribution diversity in synthetic image gener

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https://doi.org/10.1007/978-1-4757-2905-4range, minimal latency, and energy efficiency, setting them apart from conventional frame-based cameras. The distinctive capabilities of event cameras have ignited significant interest in the domain of event-based action recognition, recognizing their vast potential for advancement. However, the dev