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公开(公告)号：US11373343B2
公开(公告)日：2022-06-28
申请号：US17091259
申请日：2020-11-06
Applicant: salesforce.com, inc.
Inventor： Michael Sollami , Amir Hossein Raffiee , Owen Winne Schoppe
Abstract: Generating, at a server of a generative adversarial network (GAN) for color selection, 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.
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公开(公告)号：US20220148232A1
公开(公告)日：2022-05-12
申请号：US17091259
申请日：2020-11-06
Applicant: salesforce.com, inc.
Inventor： Michael Sollami , Amir Hossein Raffiee , Owen Winne Schoppe
Abstract: Systems and method are provided for generating, at a server of a generative adversarial network (GAN) for color selection, 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.
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公开(公告)号：US11250572B2
公开(公告)日：2022-02-15
申请号：US16658206
申请日：2019-10-21
Applicant: salesforce.com, inc.
Inventor： Michael Sollami , Amir Hossein Raffiee
Abstract: Systems and methods are provided for determining a first semantic segmentation image of a first image, wherein the first image includes at least a portion of a person wearing a first fashion item. A plurality of keypoints of the person's body may be determined in the first image. Using the determined first semantic segmentation image, the determined keypoints, and a second image that includes a second fashion item, a second semantic segmentation image of the person in the first image with the second fashion item of the second image may be generated. The first image may be masked to occlude pixels of the first fashion item that is to be replaced with the second fashion item. Using the masked first image, the second semantic segmentation image, and the second image that includes the second fashion item, a third image may be generated that includes the person with the second fashion item.
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公开(公告)号：US20210118149A1
公开(公告)日：2021-04-22
申请号：US16658206
申请日：2019-10-21
Applicant: salesforce.com, inc.
Inventor： Michael Sollami , Amir Hossein Raffiee
Abstract: Systems and methods are provided for determining a first semantic segmentation image of a first image, wherein the first image includes at least a portion of a person wearing a first fashion item. A plurality of keypoints of the person's body may be determined in the first image. Using the determined first semantic segmentation image, the determined keypoints, and a second image that includes a second fashion item, a second semantic segmentation image of the person in the first image with the second fashion item of the second image may be generated. The first image may be masked to occlude pixels of the first fashion item that is to be replaced with the second fashion item. Using the masked first image, the second semantic segmentation image, and the second image that includes the second fashion item, a third image may be generated that includes the person with the second fashion item.
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