collaborators

5 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

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…