TileGAN: Synthesis of Large-Scale Non-Homogeneous Textures

Anna Frühstück, Ibraheem Alhashim and Peter Wonka

KAUST

ACM Transactions on Graphics (Proceedings of SIGGRAPH), 2019

TileGAN: Synthesis of Large-Scale Non-Homogeneous Textures

Abstract

We tackle the problem of texture synthesis in the setting where many input images are given and a large-scale output is required. We build on recent generative adversarial networks and propose two extensions in this paper. First, we propose an algorithm to combine outputs of GANs trained on a smaller resolution to produce a large-scale plausible texture map with virtually no boundary artifacts. Second, we propose a user interface to enable artistic control. Our quantitative and qualitative results showcase the generation of synthesized high-resolution maps consisting of up to hundreds of megapixels as a case in point.

Paper

arXiv page

@article{Fruehstueck2019TileGAN,
  title = {{TileGAN}: Synthesis of Large-Scale Non-Homogeneous Textures},
  author = {Fr\"{u}hst\"{u}ck, Anna and Alhashim, Ibraheem and Wonka, Peter},
  journal = {ACM Transactions on Graphics (Proc. SIGGRAPH) },
  issue_date = {July 2019},
  volume = {38},
  number = {4},
  year = {2019}
}

Our Code is available on Github

Paper Video

High-Resolution Results

Please zoom and pan to look at detailed textures of some of our large-scale results.