AI RESEARCH
FlashSign: Pose-Free Guidance for Efficient Sign Language Video Generation
arXiv CS.CV
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ArXi:2603.27915v1 Announce Type: new Sign language plays a crucial role in bridging communication gaps between the deaf and hard-of-hearing communities. However, existing sign language video generation models often rely on complex intermediate representations, which limits their flexibility and efficiency. In this work, we propose a novel pose-free framework for real-time sign language video generation. Our method eliminates the need for intermediate pose representations by directly mapping natural language text to sign language videos using a diffusion-based approach. We