Toulatzis, VasilisFudos, IoannisVidal, Franck P. and Tam, Gary K. L. and Roberts, Jonathan C.2019-09-112019-09-112019978-3-03868-096-3https://doi.org/10.2312/cgvc.20191262https://diglib.eg.org:443/handle/10.2312/cgvc20191262In 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.Deep Terrain Expansion: Terrain Texture Synthesis with Deep Learning10.2312/cgvc.2019126295-96