Multi-Modality Image Inpainting using Generative Adversarial Networks. (arXiv:2206.09210v2 [eess.IV] UPDATED)

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.

arxiv generative adversarial networks image inpainting networks