The Generative Models have gained considerable attention in unsupervised learning via a
new and practical framework called Generative Adversarial Networks (GAN) due to their …

GAN's are playing an important role in creating and generating a new set of data from the
previously available content. GAN models are impressive in the results for image and video …

You are holding in your hands… oh, come on, who holds books like this in their hands
anymore? Anyway, you are reading this, and it means that I have managed to release one of …

Optical character recognition (OCR) systems performance have improved significantly in the
deep learning era. This is especially true for handwritten text recognition (HTR), where each …

This paper presents a GAN for generating images of handwritten lines conditioned on
arbitrary text and latent style vectors. Unlike prior work, which produce stroke points or single …

Generating synthetic images of handwritten text in a writer-specific style is a challenging
task, especially in the case of unseen styles and new words, and even more when these …

The study of ancient writings has great value for archaeology and philology. Essential forms
of material are photographic characters, but manual photographic character recognition is …

This paper introduces a new publicly available image-based Swedish historical handwritten
character and word dataset named C haracter Ar kiv D igital S weden (CArDIS)(https …

The performance of handwriting recognition systems has undergone significant
improvement in recent years. However, the accuracy of these systems for multiple cursive …

Handwriting synthesis, the task of automatically generating realistic images of handwritten
text, has gained increasing attention in recent years, both as a challenge in itself, as well as …