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Tamaththul3D creates high-fidelity 3D Saudi Sign Language avatars from video

By PulseAugur Editorial · [1 sources] ·

Researchers have developed Tamaththul3D, a novel pipeline for generating high-fidelity 3D avatars of Saudi Sign Language (SSL). This system addresses a significant gap in resources for Arabic Sign Language (ArSL), which is used by approximately 400 million speakers. The project also introduces the first high-quality 3D parametric annotations for the Ishara-500 SSL dataset, featuring precise SMPL-X parameters for 500 distinct signs. Tamaththul3D integrates several tools, including SMPLer-X, WiLoR, and MediaPipe, to achieve state-of-the-art accuracy in hand and body pose reconstruction for ArSL. AI

IMPACT Establishes a framework for ArSL avatar reconstruction, potentially enabling new accessibility technologies and cultural preservation for the Arab Deaf community.

RANK_REASON Academic paper introducing a new method and dataset for 3D avatar reconstruction of sign language. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Tamaththul3D creates high-fidelity 3D Saudi Sign Language avatars from video

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Academic paper introducing a new method and dataset for 3D avatar reconstruction of sign language. [lever_c_demoted from research: ic=1 ai=1.0]
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  1. arXiv cs.CV TIER_1 English(EN) · Eyad Alghamdi, Sattam Altuuaim, Obay Ghulam, Abdulrahman Qutah, Yousef Basoodan ·

    Tamaththul3D: High-Fidelity 3D Saudi Sign Language Avatars from Monocular Video

    arXiv:2605.05367v1 Announce Type: new Abstract: Arabic Sign Language (ArSL) and its dialects serve approximately 400 million Arabic speakers worldwide, yet the community lacks high-quality 3D parametric annotations and specialized reconstruction methods for avatar generation. We …

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