Article

A Synthetic-to-Real Framework for Robust Human-Centric Computer Vision via Inverse Rendering Optimization

2026-03-31

Abstract excerpt

This paper proposes a rigorous mathematical framework and methodology for overcoming severe data scarcity in human-centric computer vision, specifically within biometric authentication and dermatological analysis. While modern deep learning thrives on massive datasets, privacy regulations (e.g., GDPR) and the rarity of pathological conditions create significant barriers to data acquisition. We introduce a dual-sta...

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Literature Corpus work: fc738ab2-b760-5ddd-83a6-b485169a4a9a
DOI: 10.22541/au.177499043.38995276/v1

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