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Multi-Modality Image Inpainting using Generative Adversarial Networks

2022-06-18 14:06:14
Aref Abedjooy, Mehran Ebrahimi
arXiv_CV
               
Abstract

Deep learning techniques, especially Generative Adversarial Networks (GANs) have significantly improved image inpainting and image-to-image translation tasks over the past few years. To the best of our knowledge, the problem of combining the image inpainting task with the multi-modality image-to-image translation remains intact. In this paper, we propose a model to address this problem. The model will be evaluated on combined night-to-day image translation and inpainting, along with promising qualitative and quantitative results.

Abstract (translated)

URL

https://arxiv.org/abs/2206.09210

PDF

https://arxiv.org/pdf/2206.09210.pdf

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