AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work proposes a prior-first, condition-second framework for body-conditioned hand motion completion that improves kinematic plausibility, robustness, and controllability compared to end-to-end conditioned baselines, particularly in low-resource and cross-dataset settings.
Text-to-motion generation must produce motions that are semantically correct, temporally coherent, and physically plausible. A natural approach is to first project motion data into a structured semantic space and then train a generative model within that space. Such a paradigm has been highly successful in image genera...
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