Feature Guided Texture Synthesis(FGTS) for artistic style transfer

Artistic images and paintings can be regarded as a composition of content and style. The aim of artistic style transfer is to synthesize a stylized image with content of source image but novel style from style example. Based on texture synthesis, a novel Feature Guided Texture Synthesis (FGTS) algorithm for artistic style transfer is proposed in this pa- per. Compared with existing example-based methods, the content of a source image is better defined in FGTS with a feature field generated from the source image. Though the style is modelled with low-level statistical features, the style transfer process is guided with the feature field which incorporates style and content during synthesis process. More- over, a modified L2 neighborhood distance metric is developed to provide better measures of perceptual similarity. Results and comparisons are given to demonstrate that FGTS is an effective method for artistic style transfer. © 2007 ACM.

Duke Scholars

Author Feng Tian DKU Faculty