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Abstract: Federated learning remains inherently vulnerable in practical deployments, as malicious clients can behave unpredictably, launch coordinated delayed attacks, and exploit non-IID data ...
Abstract: We present CAT4D, a method for creating 4D (dynamic 3D) scenes from monocular video. CAT4D leverages a multi-view video diffusion model trained on a diverse combination of datasets to enable ...
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