TMR: Text-to-Motion Retrieval Using Contrastive 3D Human Motion Synthesis
Paper • 2305.00976 • Published
Motius reproduction of the TMR architecture trained from scratch for native Unitree G1 motion. The motion input is the canonicalized G1-38D representation at 30 fps: root XY velocity and height, root rotation 6D, and 29 joint angles.
TMRBundle / TMRG1Evaluatormodel.safetensors: motion encoder, text encoder, and reconstruction decoderstats/: G1-38D training-set normalization statisticsconfig.json and preprocessor_config.json: architecture and protocolartifact_manifest.json: file and source-checkpoint hashesThe public checkpoint is epoch 139, trained on the 344,966-motion training split of the 359,153-clip HYMotion Data G1 materialization.
from motius.evaluation import TMRG1Evaluator
evaluator = TMRG1Evaluator.from_pretrained(
"ZeyuLing/motius-evaluator-g1-38d-tmr"
)