Image inpainting: A review
Although image inpainting, or the art of repairing the old and deteriorated images, has been
around for many years, it has recently gained even more popularity, because of the recent …
around for many years, it has recently gained even more popularity, because of the recent …
A comprehensive review of past and present image inpainting methods
Images can be described as visual representations or likeness of something (person or
object) which can be reproduced or captured, eg a hand drawing, photographic material …
object) which can be reproduced or captured, eg a hand drawing, photographic material …
Robust image forgery detection over online social network shared images
The increasing abuse of image editing softwares, such as Photoshop and Meitu, causes the
authenticity of digital images questionable. Meanwhile, the widespread availability of online …
authenticity of digital images questionable. Meanwhile, the widespread availability of online …
Robust image forgery detection against transmission over online social networks
The increasing abuse of image editing software causes the authenticity of digital images
questionable. Meanwhile, the widespread availability of online social networks (OSNs) …
questionable. Meanwhile, the widespread availability of online social networks (OSNs) …
[HTML][HTML] A noise robust convolutional neural network for image classification
Abstract Convolutional Neural Networks (CNNs) are extensively used for image
classification. Noisy images reduce the classification performance of convolutional neural …
classification. Noisy images reduce the classification performance of convolutional neural …
Localization of deep inpainting using high-pass fully convolutional network
Image inpainting has been substantially improved with deep learning in the past years.
Deep inpainting can fill image regions with plausible contents, which are not visually …
Deep inpainting can fill image regions with plausible contents, which are not visually …
IID-Net: Image inpainting detection network via neural architecture search and attention
Deep learning (DL) has demonstrated its powerful capabilities in the field of image
inpainting, which could produce visually plausible results. Meanwhile, the malicious use of …
inpainting, which could produce visually plausible results. Meanwhile, the malicious use of …
A survey on image tampering and its detection in real-world photos
Editing a real-world photo through computer software or mobile applications is one of the
easiest things one can do today before sharing the doctored image on one's social …
easiest things one can do today before sharing the doctored image on one's social …
Learning a sketch tensor space for image inpainting of man-made scenes
This paper studies the task of inpainting man-made scenes. It is very challenging due to the
difficulty in preserving the visual patterns of images, such as edges, lines, and junctions …
difficulty in preserving the visual patterns of images, such as edges, lines, and junctions …
Fighting fake news: two stream network for deepfake detection via learnable SRM
Benefitting from the development of deep generative networks, modern fake news
generation methods called Deepfake rapidly go viral over the Internet, calling for efficient …
generation methods called Deepfake rapidly go viral over the Internet, calling for efficient …