Multi-Modality Image Inpainting using Generative Adversarial Networks
Image and Video Processing
2022-06-23 v2 Computer Vision and Pattern Recognition
Machine Learning
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.
Keywords
Cite
@article{arxiv.2206.09210,
title = {Multi-Modality Image Inpainting using Generative Adversarial Networks},
author = {Aref Abedjooy and Mehran Ebrahimi},
journal= {arXiv preprint arXiv:2206.09210},
year = {2022}
}
Comments
to be published in the Proceedings of 26th Int'l Conf on Image Processing, Computer Vision, & Pattern Recognition (IPCV), July 2022