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Di-Xin Yang

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Preprint Oct 2026

ELMA: Benchmarking Anaphoric Compositions for Long-Term Text-to-Motion Generation

This paper introduces ELMA, an episodic long-term motion dataset with dense segment-level annotations that preserve cross-segment dependencies, and benchmark representative long-term motion generation models under independent and anaphoric instruction settings, and study whether contextual fine-tuning improves long-ran...

Shun Kato, Di-Xin Yang, Kotaro Amaya et al. · 0 citations

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