MoCHA canonicalizes captions to motion-recoverable semantics before contrastive training, cutting within-motion embedding variance by 11-19% and lifting T2M R@1 by 3.1pp on HumanML3D and 10.3pp on KIT-ML.
In: ECCV (2022)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
MoCHA: Denoising Caption Supervision for Motion-Text Retrieval
MoCHA canonicalizes captions to motion-recoverable semantics before contrastive training, cutting within-motion embedding variance by 11-19% and lifting T2M R@1 by 3.1pp on HumanML3D and 10.3pp on KIT-ML.