Author

Xiaokang Yang

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Preprint Aug 2026

MRBench: A Comprehensive Benchmark for Human Motion-Text Retrieval

This work proposes a lightweight granularity-aware model anchored at a frozen standard-caption-aligned retrieval model that improves mixed-granularity retrieval without compromising standard-caption performance, and believes that its MRBench provides a comprehensive testbed for advancing motion-language alignment evaluation.

Fulong Liu, Liang Xu, Chengqun Yang et al. · 0 citations