Creative and diverse artwork generation using adversarial networks
Existing style transfer methods have achieved great success in artwork generation by transferring artistic styles onto everyday photographs while keeping their contents unchanged. Despite this success, these methods have one inherent limitation: they cannot produce newly created image contents, lack...
Kaydedildi:
| Asıl Yazarlar: | , , , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Wiley
2020-12-01
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| Seri Bilgileri: | IET Computer Vision |
| Konular: | |
| Online Erişim: | https://doi.org/10.1049/iet-cvi.2020.0014 |
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