Search Results for author: Ioannis Siglidis

Found 4 papers, 2 papers with code

An Interpretable Deep Learning Approach for Morphological Script Type Analysis

no code implementations20 Aug 2024 Malamatenia Vlachou-Efstathiou, Ioannis Siglidis, Dominique Stutzmann, Mathieu Aubry

Defining script types and establishing classification criteria for medieval handwriting is a central aspect of palaeographical analysis.

Deep Learning Descriptive +2

Diffusion Models as Data Mining Tools

no code implementations20 Jul 2024 Ioannis Siglidis, Aleksander Holynski, Alexei A. Efros, Mathieu Aubry, Shiry Ginosar

Concretely, we show that after finetuning conditional diffusion models to synthesize images from a specific dataset, we can use these models to define a typicality measure on that dataset.

Image Generation

The Learnable Typewriter: A Generative Approach to Text Analysis

1 code implementation3 Feb 2023 Ioannis Siglidis, Nicolas Gonthier, Julien Gaubil, Tom Monnier, Mathieu Aubry

Second, we show the potential of our method for new applications, more specifically in the field of paleography, which studies the history and variations of handwriting, and for cipher analysis.

Semantic Segmentation Unsupervised Text Recognition

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