Invention Grant
- Patent Title: Domain changes in generative adversarial networks
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Application No.: US17841333Application Date: 2022-06-15
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Publication No.: US12148202B2Publication Date: 2024-11-19
- Inventor: Sergey Demyanov , Konstantin Gudkov , Fedor Zhdanov , Andrei Zharkov
- Applicant: Snap Inc.
- Applicant Address: US CA Santa Monica
- Assignee: Snap Inc.
- Current Assignee: Snap Inc.
- Current Assignee Address: US CA Santa Monica
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: G06T11/00
- IPC: G06T11/00 ; G06T3/18 ; G06T7/68 ; G06V10/74 ; G06V10/774 ; G06V10/82 ; G06V40/16

Abstract:
An image manipulation system for generating modified images using a generative adversarial network (GAN) trains GANs using domain changes, aligns input images with generated images, classifies and associates target images based on a symmetry, and uses a modified discriminator structure. A method for domain changes includes generating, using a pre-trained GAN trained on a plurality of first target images, a plurality of images, and determining a feature for each of the plurality of images. The method further includes determining the feature for each of a plurality of second target images and matching, based on the feature, second target images of the plurality of second target images with the plurality of images. The method further includes training a discriminator of the pre-trained GAN with the second target images and the plurality of images.
Public/Granted literature
- US20230410479A1 DOMAIN CHANGES IN GENERATIVE ADVERSARIAL NETWORKS Public/Granted day:2023-12-21
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 |