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Tevior/kvcontrol-c-concat
kvcontrol-c-concat is a machine learning model from Tevior. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for pytorch. The card lists the license as mit.
Pretrained weights for KV-Control, a parameter-efficient attention-side key/value injection adapter for trajectory-controlled text-to-motion generation on a frozen PartVQ + C-Concat masked-motion (MaskGIT-style) backb…
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Updated Jul 8, 2026
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From the Hugging Face model README
Pretrained weights for KV-Control, a parameter-efficient attention-side key/value injection adapter for trajectory-controlled text-to-motion generation on a frozen PartVQ + C-Concat masked-motion (MaskGIT-style) backbone.
Code: https://github.com/CHDTevior/kvcontrol-c-concat
Download the whole tree into ./pretrained/ of the code repo (bash scripts/download_weights.sh).
| Path | Description |
|---|---|
partvq/vq_net_best_fid.pth + partvq/skeleton_partition.json | Frozen part-aware VQ tokenizer + skeleton partition (required substrate) |
normalization/mean.npy, normalization/std.npy | 263-dim HumanML3D feature statistics |
c_concat_base/net_best_fid.tar | Frozen C-Concat masked-motion backbone |
kv_control/net_best_fid.tar | KV-Control trajectory adapter (best FID) |
kv_control/net_best_top3.tar | KV-Control trajectory adapter (best Top-3) |
| Protocol | FID | Top-3 | KPS (cm) |
|---|---|---|---|
| M2 (MaskControl-matched TTT) | 0.093 ± 0.011 | 0.795 ± 0.011 | 1.10 ± 0.01 |
| M3 (+ dynamic refinement) | 0.096 ± 0.011 | 0.793 ± 0.006 | 0.96 ± 0.01 |
Anonymous AAAI-2027 submission under review; author information withheld.
MIT (weights and code). Please also honor the licenses of HumanML3D and upstream projects (MoMask / MaskControl / OpenAI CLIP).