Multimodal style-transfer network for applying style features from multi-resolution style exemplars to input images

摘要

A computing system transforms an input image into a stylized output image by applying first and second style features from a style exemplar. The input image is provided to a multimodal style-transfer network having a low-resolution-based stylization subnet and a high-resolution stylization subnet. The low-resolution-based stylization subnet is trained with low-resolution style exemplars to apply the first style feature. The high-resolution stylization subnet is trained with high-resolution style exemplars to apply the second style feature. The low-resolution-based stylization subnet generates an intermediate image by applying the first style feature from a low-resolution version of the style exemplar to first image data obtained from the input image. Second image data from the intermediate image is provided to the high-resolution stylization subnet. The high-resolution stylization subnet generates the stylized output image by applying the second style feature from a high-resolution version of the style exemplar to the second image data.