no code implementations • 7 Aug 2020 • Camilo Fosco, Vincent Casser, Amish Kumar Bedi, Peter O'Donovan, Aaron Hertzmann, Zoya Bylinskii
This paper introduces a Unified Model of Saliency and Importance (UMSI), which learns to predict visual importance in input graphic designs, and saliency in natural images, along with a new dataset and applications.
no code implementations • 24 Jan 2018 • Colm V. Gallagher, Kevin Leahy, Peter O'Donovan, Ken Bruton, Dominic T. J. O'Sullivan
20 baseline energy models are developed using an exhaustive approach with the optimal model being used to quantify savings.
1 code implementation • 8 Aug 2017 • Zoya Bylinskii, Nam Wook Kim, Peter O'Donovan, Sami Alsheikh, Spandan Madan, Hanspeter Pfister, Fredo Durand, Bryan Russell, Aaron Hertzmann
Our models are neural networks trained on human clicks and importance annotations on hundreds of designs.
no code implementations • ACM Transactions on Graphics 2014 • Peter O'Donovan, Jānis Lībeks, Aseem Agarwala, Aaron Hertzmann
These tools are complementary; a user may search for "graceful" fonts, select a reasonable one, and then refine the results from a list of fonts similar to the selection.