Search Results for author: Gemma Canet Tarres

Found 2 papers, 1 papers with code

ALADIN-NST: Self-supervised disentangled representation learning of artistic style through Neural Style Transfer

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.

Descriptive Disentanglement +1

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CoGS: Controllable Generation and Search from Sketch and Style

1 code implementation • 17 Mar 2022 • Cusuh Ham, Gemma Canet Tarres, Tu Bui, James Hays, Zhe Lin, John Collomosse

CoGS enables exploration of diverse appearance possibilities for a given sketched object, enabling decoupled control over the structure and the appearance of the output.

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