Brain is an amazing organ that controls all activities of a human. Any abnormality in the
shape of anatomical regions of the brain needs to be detected as early as possible to reduce …

Deep neural network approaches to inverse imaging problems have produced impressive
results in the last few years. In this survey paper, we consider the use of generative models …

Low level image restoration is an integral component of modern artificial intelligence (AI)
driven camera pipelines. Most of these frameworks are based on deep neural networks …

This paper addresses the problem of face video inpainting. Existing video inpainting
methods target primarily at natural scenes with repetitive patterns. They do not make use of …

Face inpainting aims to repaired damaged images caused by occlusion or cover. In recent
years, deep learning based approaches have shown promising results for the challenging …

The deep learning-based image inpainting models discussed in this review are critical
image processing techniques for filling in missing or removed regions in static planar …

Artificial intelligence technology plays an increasingly important role in human life. For
example, distinguishing different people is an essential capability of many intelligent …

There has been an increased interest in high-level image-to-image translation to achieve
semantic matching. Through a powerful translation model, we can efficiently synthesize high …

Realistic image restoration with high texture areas such as removing face masks is
challenging. The state-of-the-art deep learning-based methods fail to guarantee high-fidelity …

Learn how to apply cognitive principles to the problems of computer vision Computational
Models for Cognitive Vision formulates the computational models for the cognitive principles …