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Qin Jin

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Open access Jul 2026

Pretraining Body Part Representations for Text-Motion Retrieval

This work proposes POP-TMR which pretrains body part representations for fine-grained text-motion retrieval and introduces HumanML3D+, an enhanced benchmark that provides accurate positive annotations for text queries and includes text descriptions at varying levels of detail, enabling more systematic performance assessment.

Kejun Lin, Shizhe Chen, Anwen Hu et al. · 0 citations

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