Image inpainting is an important research direction in the study of computer vision, and is
widely used in image editing and photo inpainting etc. Traditional image inpainting …

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 …

Talking head video generation aims to produce a synthetic human face video that contains
the identity and pose information respectively from a given source image and a driving …

Deep-learning-based image inpainting methods have made remarkable advancements,
particularly in object removal tasks. The removal of face masks has gained significant …

Deep autoencoder-based approaches have achieved significant improvements on restoring
damaged images, yet they still suffer from artifacts due to the inadequate representation and …

In machine learning, a generative model is responsible for generating new samples of data
in terms of a probabilistic model. Generative adversarial network (GAN) has been widely …

Image inpainting is a significant task in the applications of computer vision, that aims to fill in
damaged regions with visually realistic contents. With the development of deep learning …

Image inpainting is now-a-days sought after due to its wide variety of applications in the
reconstruction of the corrupted image, occlusion removal, reflection removal, etc. Existing …

Image inpainting is one of the most important and widely used approaches where input
image is synthesized at the missing regions. This has various applications like undesired …

Automatic facial wrinkles detection and inpainting algorithms have gained attention of
researchers in cosmetics, forensics and computer vision. The majority of current inpainting …