Neural Fill: Content Aware Image Fill with Generative Adversarial Neural Networks
نویسندگان
چکیده
We explore the problem of content-aware image fill with convolutional neural networks. Given an image that is partially masked, our goal is to generate realistic-looking content to fill the masked parts of the image. This task is also sometimes referred to as image completion or image inpainting. We experiment with several different network architectures for the problem, and we observe our most compelling results with generative adversarial networks (GANs).
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