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  4. Resolution-robust Large Mask In painting with Fourier Convolutions
 
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conference paper

Resolution-robust Large Mask In painting with Fourier Convolutions

Suvorov, Roman
•
Logacheva, Elizaveta
•
Mashikhin, Anton
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January 1, 2022
2022 Ieee Winter Conference On Applications Of Computer Vision (Wacv 2022)
22nd IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Modern image inpainting systems, despite the significant progress, often struggle with large missing areas, complex geometric structures, and high-resolution images. We find that one of the main reasons for that is the lack of an effective receptive field in both the inpainting network and the loss function. To alleviate this issue, we propose a new method called large mask inpainting (LaMa). LaMa is based on i) a new inpainting network architecture that uses fast Fourier convolutions (FFCs), which have the imagewide receptive field; ii) a high receptive field perceptual loss; iii) large training masks, which unlocks the potential of the first two components. Our inpainting network improves the state-of-the-art across a range of datasets and achieves excellent performance even in challenging scenarios, e.g. completion of periodic structures. Our model generalizes surprisingly well to resolutions that are higher than those seen at train time, and achieves this at lower parameter&time costs than the competitive baselines. The code is available at https://github.com/saic-mdal/lama.

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Type
conference paper
DOI
10.1109/WACV51458.2022.00323
Web of Science ID

WOS:000800471203025

Author(s)
Suvorov, Roman
•
Logacheva, Elizaveta
•
Mashikhin, Anton
•
Remizova, Anastasia  
•
Ashukha, Arsenii
•
Silvestrov, Aleksei
•
Kong, Naejin
•
Goka, Harshith
•
Park, Kiwoong
•
Lempitsky, Victor
Date Issued

2022-01-01

Publisher

IEEE COMPUTER SOC

Publisher place

Los Alamitos

Published in
2022 Ieee Winter Conference On Applications Of Computer Vision (Wacv 2022)
ISBN of the book

978-1-6654-0915-5

Series title/Series vol.

IEEE Winter Conference on Applications of Computer Vision

Start page

3172

End page

3182

Subjects

Computer Science, Artificial Intelligence

•

Engineering, Electrical & Electronic

•

Imaging Science & Photographic Technology

•

Computer Science

•

Engineering

Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
SMILS  
Event nameEvent placeEvent date
22nd IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Waikoloa, HI

Jan 04-08, 2022

Available on Infoscience
July 18, 2022
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/189338
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