Motion flow demo — checkpoints
Weights and dataset statistics for the motion flow demo Space. Layout:
| path | what |
|---|---|
weights/rvq_vae_best.pt |
frozen RVQ-VAE (encoder + decoder) — required |
weights/latent_best.pt |
LFM, the latent flow model |
weights/direct_best.pt |
CDFM, the direct flow model — drives in-betweening, composition, keyframes |
weights/reflow_best.pt |
rectified student, usable at 1–4 steps |
assets/Mean.npy, assets/Std.npy, assets/rest_len.npy |
HumanML3D statistics — required |
assets/reference_clips.npz |
in-betweening reference clips |
z_mean / z_std travel inside each latent checkpoint: they are the statistics of the
RVQ-VAE latents as they stood when that model was trained, so a checkpoint loaded with the
wrong pair decodes to noise.
No SMPL body model is included here. SMPL is not redistributable; register at smpl.is.tue.mpg.de to obtain it.
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