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Patent Searching and Data


Title:
IMAGE INPAINTING METHOD AND DEVICE CONSIDERING PERIPHERAL REGION
Document Type and Number:
WIPO Patent Application WO/2022/080681
Kind Code:
A1
Abstract:
An operation method for training an image inpainting model may comprise the steps of: generating a first image; distinguishing objects included in the first image on the basis of information of each of pixels of the first image, by using a first artificial neural network for object distinguishment; removing a separate object from the first image; setting a boundary between a second object and a third object in the first image; reconstructing a first region on the basis of pixel information of the second object and the third object by using a second artificial neural network for image reconstruction, and generating a reconstructed image; calculating a difference value of pixels of an original image and the reconstructed image; and updating a weight vector of the second artificial neural network for the image reconstruction.

Inventors:
LEE WON SEOP (KR)
PARK JEONG SEON (KR)
KANG DONG YEON (KR)
JIN AH JUNG (KR)
Application Number:
PCT/KR2021/012505
Publication Date:
April 21, 2022
Filing Date:
September 14, 2021
Export Citation:
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Assignee:
CNAI CO LTD (KR)
International Classes:
G06T5/00; G06T5/50; G06T7/11; G06T7/13
Foreign References:
KR20190078543A2019-07-04
KR20150009184A2015-01-26
US20110103644A12011-05-05
Other References:
YANG CHAO; LU XIN; LIN ZHE; SHECHTMAN ELI; WANG OLIVER; LI HAO: "High-Resolution Image Inpainting Using Multi-scale Neural Patch Synthesis", 2017 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), IEEE COMPUTER SOCIETY, US, 21 July 2017 (2017-07-21), US , pages 4076 - 4084, XP033249760, ISSN: 1063-6919, DOI: 10.1109/CVPR.2017.434
AHN, WOO JIN : "A Study on inpainting background images", PROCEEDINGS OF DOMESTIC CONFERENCE OF INSTITUTE OF CONTROL, ROBOTICS AND SYSTEMS (ICROS 2019); MAY 16-18, 2019, 1 May 2019 (2019-05-01) - 18 May 2019 (2019-05-18), Korea, pages 381 - 382, XP009535836
Attorney, Agent or Firm:
SHIN, Moo Yun (KR)
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