Texture representation via analysis and synthesis with generative adversarial networks
We investigate data-driven texture modeling via analysis and synthesis with generative adversarial networks. For network training and testing, we have compiled a diverse set of spatially homogeneous textures, ranging from stochastic to regular. We adopt StyleGAN3 for synthesis and demonstrate that i...
| Autors principals: | , , , |
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| Format: | Article |
| Idioma: | English |
| Publicat: |
Elsevier
2023-12-01
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| Col·lecció: | e-Prime: Advances in Electrical Engineering, Electronics and Energy |
| Matèries: | |
| Accés en línia: | http://www.sciencedirect.com/science/article/pii/S277267112300181X |