PCD-GAN: A perceptual and copyright dual generative adversarial network for artwork style transfer and copyright protection

The lack of effective copyright protection for AI-generated artworks in style transfer remains a significant challenge. Existing approaches typically embed watermarks as post-processing steps after image generation, separating copyright protection from the artistic creation process. This leads to sh...

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Detalhes bibliográficos

Principais autores:	Zhiliang Lyu, Jihong Qin, Xuan Wang, Xiao Wang, Yuwei Tan
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2026-04-01
Colecção:	Alexandria Engineering Journal
Assuntos:	Artificial intelligence Artwork style transfer Copyright protection Digital watermarking Generative adversarial networks
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S1110016826001894
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