Browsing EG 2022 - STARs (CGF 41-2) by Subject "Neural networks"

Now showing items 1-1 of 1

    • State-of-the-Art in the Architecture, Methods and Applications of StyleGAN 

      Bermano, Amit Haim; Gal, Rinon; Alaluf, Yuval; Mokady, Ron; Nitzan, Yotam; Tov, Omer; Patashnik, Or; Cohen-Or, Daniel (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Generative Adversarial Networks (GANs) have established themselves as a prevalent approach to image synthesis. Of these, StyleGAN offers a fascinating case study, owing to its remarkable visual quality and an ability to ...