Generative image inpainting with neural features

Haolin Liu
Haolin Liu
Chenyu Li
Chenyu Li
Shengwei Zhao
Shengwei Zhao

ICIMCS, pp. 23:1-23:5, 2018.

Cited by: 1|Views16
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Abstract:

In this paper, we propose an image inpainting approach based on generative adversarial networks (GANs). The model consists of an inpainting network, two discriminative networks, local and global respectively, and a novel neural feature network. The inpainting network generates image content to regress the missing parts with an encoder-dec...More

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