TileGAN: Synthesis of Large-Scale Non-Homogeneous Textures

Autor:	Frühstück, Anna, Alhashim, Ibraheem, Wonka, Peter
Rok vydání:	2019
Předmět:	Computer Science - Graphics Computer Science - Artificial Intelligence Computer Science - Computer Vision and Pattern Recognition
Zdroj:	ACM Transactions on Graphics (SIGGRAPH 2019) 38 (4)
Druh dokumentu:	Working Paper
DOI:	10.1145/3306346.3322993
Popis:	We tackle the problem of texture synthesis in the setting where many input images are given and a large-scale output is required. We build on recent generative adversarial networks and propose two extensions in this paper. First, we propose an algorithm to combine outputs of GANs trained on a smaller resolution to produce a large-scale plausible texture map with virtually no boundary artifacts. Second, we propose a user interface to enable artistic control. Our quantitative and qualitative results showcase the generation of synthesized high-resolution maps consisting of up to hundreds of megapixels as a case in point. Comment: Code is available at http://github.com/afruehstueck/tileGAN
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1904.12795 Zobrazit plný text záznamu View this record from Arxiv