Image synthesis is currently one of the most addressed image processing topic in computer
vision and deep learning fields of study. Researchers have tackled this problem focusing …

Zero-shot learning (ZSL) aims at recognizing instances from unseen classes via training a
classification model with only seen data. Most existing approaches easily suffer from the …

Multi-GANs, inspired by traditional GAN, divide each problem space into several smaller and
more homogeneous subspaces. It is an architecture of multiple generative adversarial …

The necessity to use very large datasets in order to train Generative Adversarial Networks
(GANs) has limited their use in cases where the data at disposal are scarce or poorly …

Image colorization is the process of taking an input grayscale (black and white) image and
then producing an output colorized image that represents the semantic color tones of the …

The rapid development of the internet of things and computing technologies makes it
possible for researchers to have access to big data and develop data-driven models for …