CustomDancer: Customized Dance Recommendation by Text-Dance Retrieval
Yawen Qin Ke Qiu Qin Zhang
作者信息
Abstract
Dance serves as both a cultural cornerstone and a medium for personal expression, yet the rapid growth of online dance content has made personalized discovery increasingly difficult. Text-based dance retrieval offers a natural interface for users to search with choreographic intent, but it remains underexplored because dance requires simultaneous reasoning over linguistic semantics, musical rhythm, and full-body motion dynamics. We introduce TD-Data, a large-scale open dataset for text-dance retrieval, containing about 4,000 12-second dance clips, 14.6 hours of motion, 22 genres, and annotations from professional dance experts. On top of this dataset, we propose CustomDancer, a multimodal retrieval framework that aligns text with dance through a CLIP-based text encoder, music and motion encoders, and a music-motion blending module. CustomDancer achieves state-of-the-art performance on TD-Data, reaching 10.23% Recall@1 and improving retrieval quality in both quantitative benchmarks and user preference studies.引用本文复制引用
Yawen Qin,Ke Qiu,Qin Zhang.CustomDancer: Customized Dance Recommendation by Text-Dance Retrieval[EB/OL].(2026-05-01)[2026-05-05].https://arxiv.org/abs/2605.00824.学科分类
计算技术、计算机技术/信息传播、知识传播
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