“Generation of Traditional Japanese Patterns From Natural Patterns With StyleGAN” by Adachi, Sinapayen and Rekimoto

  • ©Asahi Adachi, Lana Sinapayen, and Jun Rekimoto

Conference:


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Entry Number: 15

Title:

    Generation of Traditional Japanese Patterns From Natural Patterns With StyleGAN

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References:


    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 ScholarDigital Library
    Yoshio Jogan. 2009. Wagara pātsu & patān sozai (Japanese Pattern Parts & Patterns). Sotechsha. ISBN978-4-88166-686-9 (in Japanese).Google Scholar
    Yoshio Jogan. 2010. Wagara pātsu & patān sozai Vol.2 (Japanese Pattern Parts & Patterns Vol.2). Sotechsha. ISBN978-4-88166-731-6 (in Japanese).Google Scholar
    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 ScholarCross Ref
    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 ScholarCross Ref
    Justin N. M. Pinkney and Doron Adler. 2020. Resolution Dependant GAN Interpolation for Controllable Image Synthesis Between Domains. In NeurIPS 2020 Workshop.Google Scholar


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