Conditional Generative ConvNets for Exemplar-Based Texture Synthesis
Conditional Generative ConvNets for Exemplar-Based Texture Synthesis
The goal of exemplar-based texture synthesis is to generate texture images that are visually similar to a given exemplar. Recently, promising results have been reported by methods relying on convolutional neural networks (ConvNets) pretrained on large-scale image datasets. However, these methods have difficulties in synthesizing image textures with non-local structures …