公开(公告)号：US20250061552A1

公开(公告)日：2025-02-20

申请号：US18934744

申请日：2024-11-01

Applicant: Samsung Electronics Co., Ltd.

Inventor： Sujin JANG ,  Joohan NA ,  Dokwan OH

IPC: G06T5/80 ,  G06N3/088 ,  G06T5/50

Abstract: A processor-implemented method with data processing using a neural network includes: determining a first translated image by translating a first image based on a second image, the first image and a second image that having different distortions, such that a distortion of the first image corresponds to a distortion of the second image; determining a first retranslated image by translating the first translated image such that a distortion of the first translated image corresponds to a distortion of the first image; and training a first deformation field generator configured to determine a first relative deformation field that represents a relative deformation from the first image to the second image and a second deformation field generator configured to determine a second relative deformation field that represents a relative deformation from the second image to the first image, based on a loss between the first retranslated image and the first image.

公开(公告)号：US20220366548A1

公开(公告)日：2022-11-17

申请号：US17575002

申请日：2022-01-13

Applicant: Samsung Electronics Co., Ltd.

Inventor： Sujin JANG ,  Joohan NA ,  Dokwan OH

IPC: G06T5/00 ,  G06T5/50 ,  G06N3/08

Abstract: A processor-implemented method with data processing using a neural network includes: determining a first translated image by translating a first image based on a second image, the first image and a second image that having different distortions, such that a distortion of the first image corresponds to a distortion of the second image; determining a first retranslated image by translating the first translated image such that a distortion of the first translated image corresponds to a distortion of the first image; and training a first deformation field generator configured to determine a first relative deformation field that represents a relative deformation from the first image to the second image and a second deformation field generator configured to determine a second relative deformation field that represents a relative deformation from the second image to the first image, based on a loss between the first retranslated image and the first image.