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PhotoApp: Photorealistic Appearance Editing of Head Portraits M. B R, A. Tewari, A. Dib, T. Weyrich, B. Bickel, H-P. Seidel, H. Pfister, W. Matusik, L. Chevalier, M. Elgharib andC. Theobalt ACM Transactions on Graphics (Proc. of SIGGRAPH 2021) — SIGGRAPH 2021 We present a method for high-quality appearance editing of head portraits. A supervised learning problem is designed in the latent space of the StyleGAN network. This allows for generalization to in-the-wild images, even when trained on a small light-stage dataset. [paper] [project page]

Education

• January 2019 - present:
  Ph. D. student in Computer Science at the Universität des Saarlandes, Saarbrücken, Germany and the Max-Planck-Institut für Informatik
• 2014 - 2017:
  Masters student at IIIT-H