1 citations · 3 across the 14 of their papers we have counts for
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HWD: A Novel Evaluation Score for Styled Handwritten Text Generation
Vittorio Pippi, Fabio Quattrini, Silvia Cascianelli +1
Styled Handwritten Text Generation (Styled HTG) is an important task in document analysis, aiming to generate text images with the handwriting of given reference images. In recent…
Volumetric Fast Fourier Convolution for Detecting Ink on the Carbonized Herculaneum Papyri
Fabio Quattrini, Vittorio Pippi, Silvia Cascianelli +1
Recent advancements in Digital Document Restoration (DDR) have led to significant breakthroughs in analyzing highly damaged written artifacts. Among those, there has been an increa…
How to Choose Pretrained Handwriting Recognition Models for Single Writer Fine-Tuning
Vittorio Pippi, Silvia Cascianelli, Christopher Kermorvant +1
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 benc…
Evaluating Synthetic Pre-Training for Handwriting Processing Tasks
Vittorio Pippi, Silvia Cascianelli, Lorenzo Baraldi +1
In this work, we explore massive pre-training on synthetic word images for enhancing the performance on four benchmark downstream handwriting analysis tasks. To this end, we build…
Handwritten Text Generation from Visual Archetypes
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 la…