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Gloss-driven Conditional Diffusion Models for Sign Language Production

Research article (ACM Transactions on Multimedia Computing Communications and Applications, 2024) · cited 36× · AI/ML
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Gloss-driven Conditional Diffusion Models for Sign Language Production

Summary

Gloss-driven Conditional Diffusion Models for Sign Language Production is a scholarly article[1].

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  • Gloss-driven Conditional Diffusion Models for Sign Language Production's instance of is recorded as scholarly article[2].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Gloss-driven Conditional Diffusion Models for Sign Language Production. Retrieved May 24, 2026, from https://4ort.xyz/entity/gloss-driven-conditional-diffusion-models-for-sign-language-production
MLA “Gloss-driven Conditional Diffusion Models for Sign Language Production.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/gloss-driven-conditional-diffusion-models-for-sign-language-production.
BibTeX @misc{4ortxyz_gloss-driven-conditional-diffusion-models-for-sign-language-production_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Gloss-driven Conditional Diffusion Models for Sign Language Production}}, year = {2026}, url = {https://4ort.xyz/entity/gloss-driven-conditional-diffusion-models-for-sign-language-production}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Gloss-driven Conditional Diffusion Models for Sign Language Production — https://4ort.xyz/entity/gloss-driven-conditional-diffusion-models-for-sign-language-production (retrieved 2026-05-24)

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