Deep Terrain Expansion: Terrain Texture Synthesis with Deep Learning

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Date
2019
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
} }
Citation