Search Results for author: Vittorio Pippi

Found 8 papers, 4 papers with code

Binarizing Documents by Leveraging both Space and Frequency

1 code implementation26 Apr 2024 Fabio Quattrini, Vittorio Pippi, Silvia Cascianelli, Rita Cucchiara

Document Image Binarization is a well-known problem in Document Analysis and Computer Vision, although it is far from being solved.

Binarization

VATr++: Choose Your Words Wisely for Handwritten Text Generation

no code implementations16 Feb 2024 Bram Vanherle, Vittorio Pippi, Silvia Cascianelli, Nick Michiels, Frank Van Reeth, Rita Cucchiara

Styled Handwritten Text Generation (HTG) has received significant attention in recent years, propelled by the success of learning-based solutions employing GANs, Transformers, and, preliminarily, Diffusion Models.

Benchmarking Text Generation

HWD: A Novel Evaluation Score for Styled Handwritten Text Generation

1 code implementation31 Oct 2023 Vittorio Pippi, Fabio Quattrini, Silvia Cascianelli, Rita Cucchiara

Through extensive experimental evaluation on different word-level and line-level datasets of handwritten text images, we demonstrate the suitability of the proposed HWD as a score for Styled HTG.

Image Generation Perceptual Distance +1

Volumetric Fast Fourier Convolution for Detecting Ink on the Carbonized Herculaneum Papyri

1 code implementation9 Aug 2023 Fabio Quattrini, Vittorio Pippi, Silvia Cascianelli, Rita Cucchiara

Recent advancements in Digital Document Restoration (DDR) have led to significant breakthroughs in analyzing highly damaged written artifacts.

How to Choose Pretrained Handwriting Recognition Models for Single Writer Fine-Tuning

no code implementations4 May 2023 Vittorio Pippi, Silvia Cascianelli, Christopher Kermorvant, Rita Cucchiara

Recent advancements in Deep Learning-based Handwritten Text Recognition (HTR) have led to models with remarkable performance on both modern and historical manuscripts in large benchmark datasets.

Handwriting Recognition Handwritten Text Recognition +2

Evaluating Synthetic Pre-Training for Handwriting Processing Tasks

no code implementations4 Apr 2023 Vittorio Pippi, Silvia Cascianelli, Lorenzo Baraldi, Rita Cucchiara

In this work, we explore massive pre-training on synthetic word images for enhancing the performance on four benchmark downstream handwriting analysis tasks.

Retrieval

Handwritten Text Generation from Visual Archetypes

1 code implementation CVPR 2023 Vittorio Pippi, Silvia Cascianelli, Rita Cucchiara

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 latter contain characters that are rarely encountered during training.

Text Generation

The LAM Dataset: A Novel Benchmark for Line-Level Handwritten Text Recognition

no code implementations16 Aug 2022 Silvia Cascianelli, Vittorio Pippi, Martin Maarand, Marcella Cornia, Lorenzo Baraldi, Christopher Kermorvant, Rita Cucchiara

With the aim of fostering the research on this topic, in this paper we present the Ludovico Antonio Muratori (LAM) dataset, a large line-level HTR dataset of Italian ancient manuscripts edited by a single author over 60 years.

Handwritten Text Recognition HTR

Cannot find the paper you are looking for? You can Submit a new open access paper.