US2022301239A1PendingUtilityA1

Automatic coloring of line drawing

Assignee: PREFERRED NETWORKS INCPriority: Sep 20, 2017Filed: Jun 7, 2022Published: Sep 22, 2022
Est. expirySep 20, 2037(~11.1 yrs left)· nominal 20-yr term from priority
G06T 11/23G06N 20/00G06T 11/10G06T 2207/20081G06T 7/13G06T 11/001G06T 11/203
69
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Claims

Abstract

A line drawing automatic coloring method according to the present disclosure includes: acquiring line drawing data of a target to be colored; receiving at least one local style designation for applying a selected local style to at least one place of the acquired line drawing data; and performing coloring processing reflecting the local style designation on the line drawing data based on a learned model for coloring in which it is learned in advance using the line drawing data and the local style designation as inputs.

Claims

exact text as granted — not AI-modified
1 - 16 . (canceled) 
     
     
         17 . A method of automatic coloring, comprising:
 acquiring data of a target to be colored;   receiving at least one local style designation for applying a selected local style to at least a first part of the target to be colored, wherein the selected local style is not applied to another part of the target to be colored; and   performing coloring processing reflecting the local style designation on the first part of the target to be colored, by inputting (i) the acquired data of the target to be colored, (ii) extracted information indicating the selected local style applied to the first part of the target, the extracted information being obtained from a predetermined process for extracting a local style based on a user-designated part of a reference image having the selected local style, and (iii) information indicating a position of the first part to which the selected local style is applied, into a neural network system for coloring the target to be colored,   wherein the selected local style is related to a style different from a color, and   wherein the neural network system is obtained based on at least a training process using image data to be colored and answer image data of the image data to be colored.

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