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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| Główni autorzy: | , , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Elsevier
2026-04-01
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| Seria: | Alexandria Engineering Journal |
| Hasła przedmiotowe: | |
| Dostęp online: | http://www.sciencedirect.com/science/article/pii/S1110016826001894 |
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