Semantic Image Inpainting Through Improved Wasserstein Generative Adversarial Networks

3 Dec 2018Patricia VitoriaJoan SintesColoma Ballester

Image inpainting is the task of filling-in missing regions of a damaged or incomplete image. In this work we tackle this problem not only by using the available visual data but also by incorporating image semantics through the use of generative models... (read more)

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