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A. Pelykh

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Preprint Sep 2026

SignRefine: Adapting Foundational Video Models for Sign Language Generation

Sign language video generation demands precise hand and facial articulation, yet modern video diffusion models, trained predominantly on spoken-language video, produce artifacts that render signing unintelligible. We propose SignRefine, a sign language video generation model that produces comprehensible signing from 2D...

A. Pelykh, Edward Fish, Ozge Mercanoglu Sincan et al. · 0 citations

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