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we present multimodality guided image style transfer using cross model Gan inversion first Id like to briefly introduce the image guided image style transfer iist which is the traditional research topic of image style transfer IST for image style transfer we focus on applying specific style patterns to a given content image when considering image guided image style transfer the style pattern is typically a style image this style image should exhibit certain Styles such as van Gos star KN effective methods for image guided image style transfer have been well established the foundational work by GES at all introduced the initial method for iist their approach involved running an optimization process using one content image and one style image to produce the stylized image to enhance efficiency researchers developed methods involving training a feedforward network for each specific style this Innovation allows for the rapid stylization of new content images using a pre-trained style req
