AI RESEARCH
Hybrid Autoregressive-Diffusion Model for Real-Time Sign Language Production
arXiv CS.CV
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ArXi:2507.09105v4 Announce Type: replace Earlier Sign Language Production (SLP) models typically relied on autoregressive decoding, which naturally preserves temporal causality but suffers from error accumulation at inference time. recent diffusion-based approaches improve generation quality through iterative denoising, yet their sequence-level refinement process