After Deep Learning (DL) regained popularity recently, the Artificial Intelligence (AI) or
Machine Learning (ML) field is undergoing rapid growth concerning research and real-world …

Generative AI (GenAI) has shown remarkable capabilities in generating diverse and realistic
content across different formats like images, videos, and text. In Generative AI, human …

Large Language Models (LLMs) have become the backbone of numerous writing interfaces
with the goal of supporting end-users across diverse writing tasks. While LLMs reduce the …

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 …

Existing handwritten text generation methods often require more than ten handwriting
samples as style references. However, in practical applications, users tend to prefer a …

We propose SketchINR to advance the representation of vector sketches with implicit neural
models. A variable length vector sketch is compressed into a latent space of fixed dimension …

We propose a novel transformer-based styled handwritten text image generation approach,
HWT, that strives to learn both style-content entanglement as well as global and local style …

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 …

Convolutional architectures have recently been shown to be competitive on many sequence
modelling tasks when compared to the de-facto standard of recurrent neural networks …

Training machines to synthesize diverse handwritings is an intriguing task. Recently, RNN-
based methods have been proposed to generate stylized online Chinese characters …