2022
DOI: 10.3390/s22082854
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Semantic Image Inpainting with Multi-Stage Feature Reasoning Generative Adversarial Network

Abstract: Most existing image inpainting methods have achieved remarkable progress in small image defects. However, repairing large missing regions with insufficient context information is still an intractable problem. In this paper, a Multi-stage Feature Reasoning Generative Adversarial Network to gradually restore irregular holes is proposed. Specifically, dynamic partial convolution is used to adaptively adjust the restoration proportion during inpainting progress, which strengthens the correlation between valid and … Show more

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Cited by 4 publications
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References 38 publications
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