StyleDEM: a Versatile Model for Authoring Terrains
Simon Perche, Adrien Peytavie, Bedrich Benes, Eric Galin, Eric, Gu\'erin

TL;DR
StyleDEM is a versatile GAN-based tool for terrain synthesis that allows designers to create, modify, and enhance terrains with style control starting from sketches or existing terrains.
Contribution
We introduce StyleDEM, a novel generative adversarial network that enables style-aware terrain authoring with interactive and enhancement tools.
Findings
Supports terrain creation from sketches or existing terrains
Allows style manipulation and super-resolution enhancements
Offers a versatile and interoperable authoring toolbox
Abstract
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.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComputer Graphics and Visualization Techniques · Generative Adversarial Networks and Image Synthesis · Advanced Vision and Imaging
