Article

Benchmarking Conditional GANs in Industrial Marble Texture Synthesis via a Dual-Evaluation Framework

2026-02-10

Abstract excerpt

Generative Adversarial Networks (GANs) have demonstrated remarkable capabilities for synthesizing photorealistic textures, yet deploying conditional GANs (cGANs) in industrial settings faces two barriers: the prohibitive cost of annotating proprietary data and the uncertain alignment between automated metrics and human perception. This study addresses both challenges for marble texture synthesis. We adapt an unsup...

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Literature Corpus work: 2c78ae3f-0cdf-55da-8b28-a31409bc67c2
DOI: 10.20944/preprints202602.0818.v1

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