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 sequence, not only at segment boundaries. These limitations suggest a complementary solution: use...
| Authors | Fidel Omar Tito Cruz, Angie Sanchez Marquina, Summy Farfan et al. |
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| Primary category | cs.CV |
| Published | 28 August 2026 |
| Last updated at source | 1 September 2026 |
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