Dr Daniel Berio
Staff details
Links
Computational methods for generating typography, calligraphy, graffiti and vector graphics
Daniel Berio is a researcher, programmer, and artist who combines computer graphics, robotics, and graffiti art in his work. He completed his PhD in computing at Goldsmiths, where he focused on developing methods for the computer-aided design and procedural generation of synthetic graffiti art and calligraphy. Prior to his PhD, Daniel specialized in multimedia software development, with a particular interest in real-time hardware-accelerated rendering and vector graphics techniques. As an artist, Daniel draws inspiration from his background in graffiti writing, using algorithmic forms to explore and expand upon this aesthetic.
Academic qualifications
- PhD, Goldsmiths, University of London 2021
Featured publications
2022:
D. Berio, F. Fol Leymarie, P. Asente and J. Echevarria - StrokeStyles: Stroke-Based Segmentation and Stylization of Fonts
ACM Transactions on Graphics, presented at SIGGRAPH 2022
2020:
D. Berio, F. Fol Leymarie and S. Calinon - Interactive Generation of Calligraphic Trajectories from Gaussian Mixtures
In book - Mixture Models and Applications (Springer)
2019:
D. Berio, P. Asente, J. Echevarria and F. Fol Leymarie - Sketching and Layering Graffiti Primitives
The 8th ACM/EG Expressive Symposium
2017:
D. Berio, M. Akten et al. - Calligraphic Stylisation Learning with a Physiologically Plausible Model of Movement and Recurrent Neural Networks
4th International Conference on Movement and Computing (MOCO)
2016:
D. Berio, S. Calinon, F. Fol Leymarie - Learning dynamic graffiti strokes with a compliant robot
International Conference on Intelligent Robots and Systems (IROS)
Publications and research outputs
Article
- Neural Image Abstraction Using Long Smoothing B-Splines Berio, Daniel ORCID logo
- Word-As-Image for Semantic Typography Iluz, Shir; Vinker, Yael; Hertz, Amir; Berio, Daniel ORCID logo