Automatically Selecting Example Stylized Images for Image Stylization Operations Based on Semantic Content

摘要

Systems and methods are provided for content-based selection of style examples used in image stylization operations. For example, training images can be used to identify example stylized images that will generate high-quality stylized images when stylizing input images having certain types of semantic content. In one example, a processing device determines which example stylized images are more suitable for use with certain types of semantic content represented by training images. In response to receiving or otherwise accessing an input image, the processing device analyzes the semantic content of the input image, matches the input image to at least one training image with similar semantic content, and selects at least one example stylized image that has been previously matched to one or more training images having that type of semantic content. The processing device modifies color or contrast information for the input image using the selected example stylized image.

主权项

1. A method for automatically selecting and applying an image stylization operation based on semantic content of a received image, the method comprising:
determining that color information or contrast information of a training image is similar to color information or contrast information of an example stylized image; matching the training image to an input image that is semantically similar to the training image; selecting the example stylized image based on the example stylized image and the training image having similar color information or contrast information; and modifying color information or contrast information of the input image based on the color information or contrast information from the selected example stylized image.