1 code implementation • ECCV 2020 • Dipu Manandhar, Dan Ruta, John Collomosse
We propose a novel representation learning technique for measuring the similarity of user interface designs.
no code implementations • 9 Jul 2023 • Dan Ruta, Gemma Canet Tarrés, Andrew Gilbert, Eli Shechtman, Nicholas Kolkin, John Collomosse
Neural Style Transfer (NST) is the field of study applying neural techniques to modify the artistic appearance of a content image to match the style of a reference style image.
no code implementations • 12 Apr 2023 • Dan Ruta, Gemma Canet Tarres, Alexander Black, Andrew Gilbert, John Collomosse
Representation learning aims to discover individual salient features of a domain in a compact and descriptive form that strongly identifies the unique characteristics of a given sample respective to its domain.
1 code implementation • 11 Apr 2023 • Dan Ruta, Andrew Gilbert, John Collomosse, Eli Shechtman, Nicholas Kolkin
As a component of curating this data, we present a novel model able to classify if an image is stylistic.
no code implementations • 11 Mar 2023 • Gemma Canet Tarrés, Dan Ruta, Tu Bui, John Collomosse
We propose PARASOL, a multi-modal synthesis model that enables disentangled, parametric control of the visual style of the image by jointly conditioning synthesis on both content and a fine-grained visual style embedding.
no code implementations • 9 Aug 2022 • Dan Ruta, Andrew Gilbert, Saeid Motiian, Baldo Faieta, Zhe Lin, John Collomosse
We present HyperNST; a neural style transfer (NST) technique for the artistic stylization of images, based on Hyper-networks and the StyleGAN2 architecture.
no code implementations • 10 Mar 2022 • Dan Ruta, Andrew Gilbert, Pranav Aggarwal, Naveen Marri, Ajinkya Kale, Jo Briggs, Chris Speed, Hailin Jin, Baldo Faieta, Alex Filipkowski, Zhe Lin, John Collomosse
We present StyleBabel, a unique open access dataset of natural language captions and free-form tags describing the artistic style of over 135K digital artworks, collected via a novel participatory method from experts studying at specialist art and design schools.
no code implementations • ICCV 2021 • Dan Ruta, Saeid Motiian, Baldo Faieta, Zhe Lin, Hailin Jin, Alex Filipkowski, Andrew Gilbert, John Collomosse
We present ALADIN (All Layer AdaIN); a novel architecture for searching images based on the similarity of their artistic style.