Hybrid Autoregressive-Diffusion Model for Real-Time Sign Language Production 事件

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