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SignRR: Retrieve and Refine Real Motion for Sign Language Production

Paper recorded by Signals 4 on 2026-08-28 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-08-28 on arXiv · recorded by Signals 4 on 2026-08-31

Category: cs.CV · 计算机视觉 · first seen 2026-08-31

Abstract

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-ba

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#224 most recent of 237 cs.CV papers we have recorded · ↑ newer: Does Latent Planning Survive Point Clouds? Action-Conditioned JEPA Wor · ↓ older: GeBDA: Building Damage Assessment as Text-Based Sequence Prediction
Cite this page: SignRR: Retrieve and Refine Real Motion for Sign Language Production: the #224 most recent of 237 cs.CV papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/signrr-retrieve-and-refine-real-motion-for-sign-language-production.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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