公开(公告)号：US20220414936A1

公开(公告)日：2022-12-29

申请号：US17359221

申请日：2021-06-25

Applicant: Adobe Inc.

Inventor： Vineet BATRA ,  Sumit DHINGRA ,  Matthew FISHER ,  Ankit PHOGAT

IPC: G06T7/90 ,  G06N3/04

Abstract: Embodiments are disclosed for generating multiple color theme variations from an input image using learned color distributions. A method of generating multiple color theme variations from an input image using learned color distributions includes obtaining, by a user interface manager, an input image, determining, by a color extraction manager, one or more color priors based on the input image, generating, by a color distribution modeling network, a plurality of color theme variations based on the one or more color priors, ranking, by a color theme evaluation network, the plurality of color theme variations, and generating, by a recolor manager, a plurality of recolored output images using the plurality of color theme variations.

公开(公告)号：US20220222420A1

公开(公告)日：2022-07-14

申请号：US17657542

申请日：2022-03-31

Applicant: Adobe Inc.

Inventor： Arushi JAIN ,  Vijit SAXENA ,  Praveen Kumar DHANUKA ,  Matthew FISHER

IPC: G06F40/109 ,  G06F40/166 ,  G06F40/126 ,  G06V30/414

Abstract: Techniques described herein take character glyphs as input and generate a text-on-a-path text object that includes the character glyphs arranged in a determined order along a path. For instance, a method described herein includes accessing character glyphs in input data. The method further includes determining an order for the character glyphs based on relative positions and orientations of the character glyphs in the input data. The method further includes generating a path for the character glyphs, based on the order, and associating the path with the character glyphs. Further, the method includes generating a text object that includes the set of character glyphs arranged in the order along the path.