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Generation of traditional Japanese patterns from natural patterns with StyleGAN

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Published:25 July 2022Publication History

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References

  1. Mircea Cimpoi, Subhransu Maji, Iasonas Kokkinos, Sammy Mohamed, and Andrea Vedaldi. 2014. Describing Textures in the Wild. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR).Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Yoshio Jogan. 2009. Wagara pātsu & patān sozai (Japanese Pattern Parts & Patterns). Sotechsha. ISBN978-4-88166-686-9 (in Japanese).Google ScholarGoogle Scholar
  3. Yoshio Jogan. 2010. Wagara pātsu & patān sozai Vol.2 (Japanese Pattern Parts & Patterns Vol.2). Sotechsha. ISBN978-4-88166-731-6 (in Japanese).Google ScholarGoogle Scholar
  4. Tero Karras, Samuli Laine, and Timo Aila. 2019. A Style-Based Generator Architecture for Generative Adversarial Networks. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).Google ScholarGoogle ScholarCross RefCross Ref
  5. Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila. 2020. Analyzing and Improving the Image Quality of StyleGAN. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).Google ScholarGoogle ScholarCross RefCross Ref
  6. Justin N. M. Pinkney and Doron Adler. 2020. Resolution Dependant GAN Interpolation for Controllable Image Synthesis Between Domains. In NeurIPS 2020 Workshop.Google ScholarGoogle Scholar

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  • Published in

    cover image ACM Conferences
    SIGGRAPH '22: ACM SIGGRAPH 2022 Posters
    July 2022
    132 pages
    ISBN:9781450393614
    DOI:10.1145/3532719

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    • Published: 25 July 2022

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