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t2m vocab (corrected 6D model)

t2m: retrain with corrected 6D rotation packing (#411, PR #792 review)

t2m v4 vocab: 13 actions, frame=world, fps=30 (#411)

t2m v4: 30fps world-frame CVAE, absolute decoder, derived-local supervision (#411)

motion library v4: 47 active-window clips / 15 actions with per-action variety (#411)

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Segmentation section: document only the sources actually used

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Document meshseg v2: surface-sampled synthetic + mined CC0 rigs, 94.7% rig-truth accuracy

meshseg v2 (#410): surface-sampled synthetic + CC0 mined rigs, 94.7% vs 31.5% on rig-truth eval

Add t2m vocab (#411)

Add experimental t2m model (#411)

Add text-to-motion template clip library (#411 MVP) — 10 CMU-derived actions

Restore original segmentation model (revert in-progress rework that didn't improve quality)

meshseg v1.2.0: flat-PointNet (runs correctly in C++ ORT) + CC0 real-data training

Improve mesh-seg model: T/A-pose data + upright aug + PointNet++ local features (#410)

Document all models + link dedicated repos for the trained ones (RMIB, MeshSeg)

Add mesh part-segmentation model (#410) — synthetic humanoid (CC0)

Add RMIB animation in-betweening model (#409) — trained on CMU MoCap (permissive)

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Add BSD-3 Real-ESRGAN x2/x4 ONNX upscalers (#405)

Update README.md

Update README.md

Add CC0 PBRify ONNX models (#404)

initial commit