Global and Local Attention-Based Free-Form Image Inpainting

Sensors
S M Nadim Uddin, Yong Ju Jung

Abstract

Deep-learning-based image inpainting methods have shown significant promise in both rectangular and irregular holes. However, the inpainting of irregular holes presents numerous challenges owing to uncertainties in their shapes and locations. When depending solely on convolutional neural network (CNN) or adversarial supervision, plausible inpainting results cannot be guaranteed because irregular holes need attention-based guidance for retrieving information for content generation. In this paper, we propose two new attention mechanisms, namely a mask pruning-based global attention module and a global and local attention module to obtain global dependency information and the local similarity information among the features for refined results. The proposed method is evaluated using state-of-the-art methods, and the experimental results show that our method outperforms the existing methods in both quantitative and qualitative measures.

References

Sep 21, 2004·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Zhou WangEero P Simoncelli
Sep 29, 2004·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Antonio CriminisiKentaro Toyama
Feb 2, 2008·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Marcelo BertalmioStanley Osher
Feb 8, 2008·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·C BallesterJ Verdera
Feb 5, 2010·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Zongben Xu, Jian Sun
Jun 1, 1986·IEEE Transactions on Pattern Analysis and Machine Intelligence·J Canny
Jul 12, 2017·IEEE Transactions on Pattern Analysis and Machine Intelligence·Bolei ZhouAntonio Torralba

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Citations

Aug 20, 2021·Computers in Biology and Medicine·Lei WangShijie Chang

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Methods Mentioned

BETA
feature extraction

Software Mentioned

EdgeConnect
PyTorch
CelebA
DeepFusion
HQ
TensorFlow

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