| Summary: | 碩士 === 國立中正大學 === 資訊工程研究所 === 107 === Image generation has been one of the most important fildes in computer vision.In the past two decades, texture synthesis is a popular study. This kind of researchsynthesizes or expands texture based on a small patch. In this thesis, we proposea regular-texture synthesis method based on two patches. The generation modelfuses styles of two patches and generates a harmonious Batik image. We adopt two-stages training and generate images more clearly. By adding a local discriminator,we removes blocking artifacts between patches.In the experiment, by considering features progressively, the generator learnshow to fuse two styles, removes the blocking artifacts and generates a harmoniousimage. We also show the proposed method can be used to generate texture imagesother than Batik images. Furthermore, we do a comprehensive user study andshow promising results
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