Adobe, Inc.

Xin Wang

Jose Ignacio Echevarria Vallespi

Michele Saad

Geoffrey Oxholm

Lauren Dest

Nathan Douglas Baldwin

Dustin Ground

Matthew May

Methods and systems disclosed herein relate generally to increasing visibility of pixel patterns of an image. The system includes a pattern-detection application accessing an image depicting an object. The pattern-detection application determines a set of colors from the transformed image. The pattern-detection application identifies a set of pixels depicting a particular color of the set of colors. For the set of pixels depicting the particular color, the pattern-detection application converts an initial set of pixel values of the set of pixels at an initial color space to another set of pixel values that define the particular color of the set of pixels in another color space. The pattern-detection application modifies one or more values of the other set of pixel values to generate a modified set of pixel values. The modification includes causing the set of pixels visually indicate a simulated color that is different from the particular color.

Increasing visibility of pixel patterns in images

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.

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

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Goleta, CA, United States of America

Xin Wang