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architecturetechnical paper candidatescore 54
Machine Learning Generation Systems
1. [Overview](#overview) 2. [CC-MotionGen](#cc-motiongen) 3. [RAG++ Policy](#rag-policy) 4. [MotionPhrase System](#motionphrase-system) 5. [Training Pipeline](#training-pipeline) 6. [Inference API](#inference-api) 7. [Evaluation Metrics](#evaluation-metrics)
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1. [Overview](#overview) 2. [CC-MotionGen](#cc-motiongen) 3. [RAG++ Policy](#rag-policy) 4. [MotionPhrase System](#motionphrase-system) 5. [Training Pipeline](#training-pipeline) 6. [Inference API](#inference-api) 7. [Evaluation Metrics](#evaluation-metrics)
The ML Generation Systems provide music-conditioned motion generation through diffusion models enhanced with retrieval-augmented priors.
RAG++ (Retrieval-Augmented Generation++) enhances motion generation by retrieving relevant motion phrases from a curated database.
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