Deep Terrain Expansion: Terrain Texture Synthesis with Deep Learning
No Thumbnail Available
Date
2019
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
In real-world applications terrains play a cardinal role in the field of games and geospatial applications such as Geographic Information Systems (GIS). The textures of a terrain are essential for creating virtual photorealistic environments for users. In many cases, the entire texture of a region is not available in high resolution or is much smaller than the required texture to cover a terrain. Tiling of a texture across a terrain or using an enlarged version of it usually fails to provide an acceptable photorealistic result. Consequently, high quality texture synthesis is a central issue in such settings. In this paper, we explore a novel methodology that extends previous work providing both synthesis and expansion/shrinkage of a texture.
Description
@inproceedings{10.2312:cgvc.20191262,
booktitle = {Computer Graphics and Visual Computing (CGVC)},
editor = {Vidal, Franck P. and Tam, Gary K. L. and Roberts, Jonathan C.},
title = {{Deep Terrain Expansion: Terrain Texture Synthesis with Deep Learning}},
author = {Toulatzis, Vasilis and Fudos, Ioannis},
year = {2019},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-096-3},
DOI = {10.2312/cgvc.20191262}
}