SOURCE-LINKED INTELLIGENCE
SignRR: Retrieve and Refine Real Motion for Sign Language Production
Sign language production (SLP) aims to generate continuous signing motion from spoken language, often through gloss-to-pose generation. Prior work mainly follows two paradigms. Generative models synthesize motion from a learned prior or from noise, without reference to an observed signing instance, making rare hand configurations and signer-specific articulation difficult to preserve. Retrieval-based methods reuse real, well-articulated motion segments, but concatenating segments from different signers and co-articulation contexts can introduce rhythm and style inconsistencies across the full
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-28T17:45:14.000Z
First collected: 2026-09-21T08:02:06.831Z. This is not the publication date.