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CC-MotionGen Technical Documentation

CC-MotionGen is a state-of-the-art diffusion-based model for generating temporally coherent motion trajectories conditioned on audio features. The system comprises a 116M parameter UNet1D diffusion backbone, a 2M parameter motion decoder, and a comprehensive post-processing pipeline designed for real-time choreography synthesis.

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> **Version:** 0.2.0 > **Last Updated:** December 2025 > **Authors:** Comp-Core ML Team CC-MotionGen is a state-of-the-art diffusion-based model for generating temporally coherent motion trajectories conditioned on audio features. The system comprises a 116M parameter UNet1D diffusion backbone, a 2M parameter motion decoder, and a comprehensive post-processing pipeline designed for real-time choreography synthesis. **Key Capabilities:** - Audio-synchronized motion generation at 30fps - 25-dimensional motion representation (position, velocity, orientation, phase, style) - End-to-end differentiable pipeline for temporal coherence - Scalable inference via DDIM sampling (20 steps vs 1000 DDPM) 1. [System Architecture](#1-system-architecture) 2. [Motion Representation Format](#2-motion-representation-format) 3. [Model Components Deep Dive](#3-model-components-deep-dive) 4. [Audio Feature Extraction](#4-audio-feature-extraction) 5. [Diffusion Process Mathematics](#5-diffusion-process-mathematics) 6. [Training Pipeline](#6-training-pipeline) 7. [End-to-End Fine-tuning](#7-end-to-end-fine-tuning) 8. [Inference & Sampling](#8-inference--sampling) 9. [Post-Processing Pipeline](#9-post-processing-pipeline) 10. [Validation & Sanity Checks](#10-validation--sanity-checks) 11. [Configuration Reference](#11-configuration-reference) 12. [API Reference](#12-api-reference) 13. [Performance & Benchmarks](#13-performance--benchmarks) 14. [Troubleshooting Guide](#14-troubleshooting-guide) 15. [Known Issues & Roadmap](#15-known-issues--roadmap) The base diffusion model learns a latent representation optimized for noise prediction, not motion semantics. E2E fine-tuning addresses this by:

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