stylegan2
StyleGAN2 - Official TensorFlow Implementation
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StyleGAN2 — Official TensorFlow Implementation Analyzing and Improving the Image Quality of StyleGAN Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, Timo Aila Paper: http://arxiv.org/abs/1912.04958 Video: https://youtu.be/c-NJtV9Jvp0 Abstract: The style-based GAN architecture (StyleGAN) yields state-of-the-art results in data-driven unconditional generative image modeling. We expose and analyze several of its characteristic artifacts, and propose changes in both model architecture and training methods to address them. In particular, we redesign generator normalization, revisit progressive growing, and regularize the generator to encourage good…
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