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StyleDEM: a Versatile Model for Authoring Terrains

arXiv 2304.09626 ↗First posted 19 Apr 2023cs.GR cs.AIcited by 0

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Abstract (arXiv)

Many terrain modelling methods have been proposed for the past decades, providing efficient and often interactive authoring tools. However, they generally do not include any notion of style, which is a critical aspect for designers in the entertainment industry. We introduce StyleDEM, a new generative adversarial network method for terrain synthesis and authoring, with a versatile toolbox of authoring methods with style. This method starts from an input sketch or an existing terrain. It outputs a terrain with features that can be authored using interactive brushes and enhanced with additional tools such as style manipulation or super-resolution. The strength of our approach resides in the versatility and interoperability of the toolbox.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 6 of its 37 references that are in the map. First posted on arXiv 19 Apr 2023.

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6 of 37 references.

References · 6

  1. 2018A Style-Based Generator Architecture for Generative Adversarial Networkscited by 5,986
  2. 2019Analyzing and Improving the Image Quality of StyleGANcited by 3,580
  3. 2020Encoding in Style: a StyleGAN Encoder for Image-to-Image Translationcited by 727
  4. 2019Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?cited by 675
  5. 2021GAN Inversion: A Surveycited by 366
  6. 2022Deep Generative Framework for Interactive 3D Terrain Authoring and Manipulationcited by 1

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