CC-MotionGen: Audio-Conditioned Latent Motion Diffusion with Validation-Based Candidate Selection
CC-MotionGen is the audio-conditioned latent motion diffusion branch. It samples candidate motion futures from audio features, then uses deterministic sanity checks and musicality scoring to select a plausible output.
Paper workspace
Live draft structure
Artifacts
Research paper source
Mapped from the CC-MotionGen repository paper source.
source-only
Editable source
Implementation-grounded research paper exists. Release should wait for leakage-safe evaluation and dataset split review.
Source anchors
Comp-Core/core/ml/cc-ml/cc_motiongen/RESEARCH_PAPER.md
Comp-Core core/ml/cc-ml/cc_motiongen package
Method tags
Ingest intersections
Status
Implementation-grounded system paper; evaluation and leakage-safe dataset splits remain open.
Key claims
01
Generative motion needs a validation layer around the model.
02
Audio-motion dataset splits must avoid track leakage.
03
Candidate selection is part of the architecture, not a post-hoc convenience.
Public reading note
Public reader page safe; release needs evaluation cleanup.
Standard skeleton
What this paper must keep proving
problem
Generative motion systems can produce plausible-looking samples that are physically invalid or musically misaligned.
method
Generate multiple audio-conditioned latent motion candidates and select through deterministic plausibility checks plus musicality scoring.
implementation
CC-MotionGen data loaders, temporal U-Net, diffusion sampler, sanity checker, musicality ranker, and trainer.
data
Phrase-level audio features and motion latents; leakage-safe track-level splits remain required for research claims.
evaluation
Sanity-pass rate, musicality score, track-leakage-safe validation, and downstream pose/render quality.
references
Audio-conditioned motion diffusion, classifier-free guidance, rejection sampling, temporal U-Nets.
openQuestions
Replace random train/validation splitting with track-aware leakage-safe evaluation.
Checkpoints and references
Proof chain
Claim checkpoint
central-claim slot
Every central claim must point to a proof anchor or remain labeled as speculative.
Implementation checkpoint
implementation-map slot
Every method should identify the code path, harness, schema, or protocol that embodies it.
Evidence checkpoint
evidence-manifest slot
Every reported result should point to run IDs, packet IDs, data snapshots, commits, or review artifacts.
Reference checkpoint
references slot
Every external claim should resolve to a cited paper, benchmark, standard, or documented prior system.
Release checkpoint
release-gate slot
Every PDF needs a named condition before it can move from draft to citation-ready.