Invention Grant
- Patent Title: Systems and methods of generating color palettes with a generative adversarial network
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Application No.: US17751862Application Date: 2022-05-24
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Publication No.: US11593975B2Publication Date: 2023-02-28
- Inventor: Michael Sollami , Amir Hossein Raffiee , Owen Winne Schoppe
- Applicant: Salesforce, Inc.
- Applicant Address: US CA San Francisco
- Assignee: Salesforce, Inc.
- Current Assignee: Salesforce, Inc.
- Current Assignee Address: US CA San Francisco
- Agency: Butzel Long
- Main IPC: G06T11/00
- IPC: G06T11/00 ; G06K9/62 ; G06T7/90 ; G06V10/75

Abstract:
A server of a generative adversarial network (GAN) for color selection; generates a training set of color palettes. A color palette generator of the server generates a first set of color palettes based on the training set of color palettes. The first set of color palettes may be compared with a reference set of color palettes to predict a curated set of color palettes. Colors from the curated set of color palettes may be removed that are within a predetermined distance from one another in a color space. The GAN may be validated by performing cluster analysis to determine outlier latent dimensions to be changed for the color selection by the GAN. Proposed color palettes may be generated based on the GAN to be displayed on a display device.
Public/Granted literature
- US20220284641A1 SYSTEMS AND METHODS OF GENERATING COLOR PALETTES WITH A GENERATIVE ADVERSARIAL NETWORK Public/Granted day:2022-09-08
Information query
IPC分类:
G | 物理 |
G06 | 计算;推算或计数 |
G06T | 一般的图像数据处理或产生 |
G06T11/00 | 2D〔二维〕图像的生成 |