activity
20232026
most citedHWD: A Novel Evaluation Score for Styled Handwritten Text Generation

1 citations · 2 across the 10 of their papers we have counts for

collaborators

11 papers

cs.CV2026

Editing Everything Everywhere All at Once

Fabio Quattrini, Carmine Zaccagnino, Enis Simsar +4

Editing multiple elements of an image in a single forward pass is a practical alternative to multi-turn image manipulation, offering improved efficiency and potentially better harm…

cs.CV2026

A Text Recognition Dataset from Sahidic Coptic Ancient Manuscripts

Fabio Quattrini, Carmine Zaccagnino, Costanza Bianchi +2

In this work, we target Handwritten Text Recognition (HTR) in low-resource scenarios, which arise from underrepresented languages, rare scripts, and degraded visual conditions typi…

cs.CV2026

Shifting the Breaking Point of Flow Matching for Multi-Instance Editing

Carmine Zaccagnino, Fabio Quattrini, Enis Simsar +4

Flow matching models have recently emerged as an efficient alternative to diffusion, especially for text-guided image generation and editing, offering faster inference through cont…

cs.CV2025

Autoregressive Styled Text Image Generation, but Make it Reliable

Carmine Zaccagnino, Fabio Quattrini, Vittorio Pippi +3

Generating faithful and readable styled text images (especially for Styled Handwritten Text generation - HTG) is an open problem with several possible applications across graphic d…

cs.CV2025★ 1 cited

Zero-Shot Styled Text Image Generation, but Make It Autoregressive

Vittorio Pippi, Fabio Quattrini, Silvia Cascianelli +2

Styled Handwritten Text Generation (HTG) has recently received attention from the computer vision and document analysis communities, which have developed several solutions, either…

cs.CV2024

Merging and Splitting Diffusion Paths for Semantically Coherent Panoramas

Fabio Quattrini, Vittorio Pippi, Silvia Cascianelli +1

Diffusion models have become the State-of-the-Art for text-to-image generation, and increasing research effort has been dedicated to adapting the inference process of pretrained di…

cs.CV2024

μgat: Improving Single-Page Document Parsing by Providing Multi-Page Context

Fabio Quattrini, Carmine Zaccagnino, Silvia Cascianelli +2

Regesta are catalogs of summaries of other documents and, in some cases, are the only source of information about the content of such full-length documents. For this reason, they a…

cs.CV2024

Alfie: Democratising RGBA Image Generation With No $$$

Fabio Quattrini, Vittorio Pippi, Silvia Cascianelli +1

Designs and artworks are ubiquitous across various creative fields, requiring graphic design skills and dedicated software to create compositions that include many graphical elemen…

cs.CV2024

Binarizing Documents by Leveraging both Space and Frequency

Fabio Quattrini, Vittorio Pippi, Silvia Cascianelli +1

Document Image Binarization is a well-known problem in Document Analysis and Computer Vision, although it is far from being solved. One of the main challenges of this task is that…

cs.CV2023★ 1 cited

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…

cs.CV2023

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…