公开(公告)号：US20230410479A1

公开(公告)日：2023-12-21

申请号：US17841333

申请日：2022-06-15

Applicant: Snap Inc.

Inventor： Sergey Demyanov ,  Konstantin Gudkov ,  Fedor Zhdanov ,  Andrei Zharkov

IPC: G06V10/774 ,  G06V10/82 ,  G06V10/74 ,  G06V40/16 ,  G06T3/00 ,  G06T11/00 ,  G06T7/68

CPC classification number: G06V10/774 ,  G06V10/82 ,  G06V10/74 ,  G06V40/16 ,  G06T3/0093 ,  G06T11/00 ,  G06T7/68 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30201 ,  G06T2207/20221

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.

公开(公告)号：US20250037436A1

公开(公告)日：2025-01-30

申请号：US18911590

申请日：2024-10-10

Applicant: Snap Inc.

Inventor： Sergey Demyanov ,  Konstantin Gudkov ,  Fedor Zhdanov ,  Andrei Zharkov

IPC: G06V10/774 ,  G06T3/18 ,  G06T7/68 ,  G06T11/00 ,  G06V10/74 ,  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.

公开(公告)号：US12148202B2

公开(公告)日：2024-11-19

申请号：US17841333

申请日：2022-06-15

Applicant: Snap Inc.

Inventor： Sergey Demyanov ,  Konstantin Gudkov ,  Fedor Zhdanov ,  Andrei Zharkov

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.

公开(公告)号：US20230386144A1

公开(公告)日：2023-11-30

申请号：US17804500

申请日：2022-05-27

Applicant: Snap Inc.

Inventor： Konstantin Gudkov ,  Andrei Zharkov ,  Vadim Velicodnii ,  Aleksei Zhuravlev ,  Sergey Demyanov

IPC: G06T19/00 ,  G06F3/01 ,  G06F3/04815 ,  G06F8/34

CPC classification number: G06T19/006 ,  G06F3/011 ,  G06F3/04815 ,  G06F8/34

Abstract: Methods and systems are disclosed for performing automatically creating AR experiences on a messaging platform. The methods and systems perform operations that include: receiving, via a graphical user interface (GUI), input that specifies a plurality of image transformation parameters; accessing a set of sample source images; modifying the set of sample source images based on the plurality of image transformation parameters to generate a set of sample target images; training a machine learning model to generate a given target image from a given source image by establishing a relationship between the set of sample source images and the set of sample target images; and automatically generating an augmented reality experience comprising the trained machine learning model.

公开(公告)号：US20230215062A1

公开(公告)日：2023-07-06

申请号：US17804268

申请日：2022-05-26

Applicant: Snap Inc.

Inventor： Konstantin Gudkov ,  Sergey Demyanov ,  Andrei Zharkov ,  Fedor Zhdanov ,  Vadim Velicodnii

IPC: G06T11/60 ,  G06N20/20

CPC classification number: G06T11/60 ,  G06N20/20 ,  G06T2210/44

Abstract: Systems and methods herein describe an image stylization system. The image stylization system accesses a set of images corresponding to a target domain style, generates a set of paired images using a first machine learning model, analyze the generated set of paired images using a second machine learning model trained to analyze the generated set of paired images based on a plurality of protected feature criteria, determines a set of image transformations for the generated set of pairs, generates a transformed set of paired images by performing the set of image transformations on the set of paired images, and generates stylized images corresponding to the target domain style using a supervised image translation model trained on the transformed set of paired images.