Invention Grant
- Patent Title: Utilizing a colorization neural network to generate colorized images based on interactive color edges
-
Application No.: US16813050Application Date: 2020-03-09
-
Publication No.: US10997752B1Publication Date: 2021-05-04
- Inventor: Seungjoo Yoo , Richard Zhang , Matthew Fisher , Jingwan Lu
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Agency: Keller Jolley Preece
- Main IPC: G06T7/13
- IPC: G06T7/13 ; G06T11/00 ; G06T7/90

Abstract:
Methods, systems, and non-transitory computer readable storage media are disclosed for utilizing an edge prediction neural network and edge-guided colorization neural network to transform grayscale digital images into colorized digital images. In one or more embodiments, the disclosed systems apply a color edge prediction neural network to a grayscale image to generate a color edge map indicating predicted chrominance edges. The disclosed systems can present the color edge map to a user via a colorization graphical user interface and receive user color points and color edge modifications. The disclosed systems can apply a second neural network, an edge-guided colorization neural network, to the color edge map or a modified edge map, user color points, and the grayscale image to generate an edge-constrained colorized digital image.
Information query