April 4, 2024, 4:45 a.m. | Zhengdi Yu, Shaoli Huang, Yongkang Cheng, Tolga Birdal

cs.CV updates on arXiv.org arxiv.org

arXiv:2310.20436v2 Announce Type: replace
Abstract: We present SignAvatars, the first large-scale, multi-prompt 3D sign language (SL) motion dataset designed to bridge the communication gap for Deaf and hard-of-hearing individuals. While there has been an exponentially growing number of research regarding digital communication, the majority of existing communication technologies primarily cater to spoken or written languages, instead of SL, the essential communication method for Deaf and hard-of-hearing communities. Existing SL datasets, dictionaries, and sign language production (SLP) methods are typically limited …

abstract arxiv benchmark bridge communication cs.cv dataset deaf digital gap hearing language prompt research scale technologies type

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