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Evidence record 19445 · automatically gathered

Sign Language Video Synthesis via Loss-Guided Multi-Expert GANs

This preliminary technical report presents a framework for sign language video synthesis using a loss-guided multi-expert Generative Adversarial Network (GAN) to enhance communication for individuals with hearing impairments. Three specialized discriminators -- global, hand, and head -- each guide a corresponding expert branch in the generator toward a distinct visual region, enabling implicit feature specialization without explicit diversity losses. To stabilize this multi-discriminator system,

Record details

Published: 13 August 2026
Source: arXiv cs.AI
Category: Research
Topics: Bias & fairness
Retrieved: 14 August 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

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How to cite this record

ethics.ai (13 August 2026), “Sign Language Video Synthesis via Loss-Guided Multi-Expert GANs,” evidence record 19445, https://ethics.ai/record/19445 (originally published by arXiv cs.AI).

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