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Computer vision has made impressive gains through the use of deep learning models, trained with large-scale labeled data. However, labels require expertise and curation and are expensive to collect.

La synthèse d’images (parfois appelée « la 3D ») permet de créer dans l’ordinateur des mondes fictifs, ultra-réalistes ou de style cartoon selon l’envie des graphistes, des réalisateurs, des

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In this talk I will survey a number of current and recent projects underway in the Research Group at Pixar. To set context for the discussion I'll begin with a brief overview of our production

In this talk I will draw upon my own experiences as a computer graphics researcher and as a tango dancer to provide a very personal perspective on how research works, and on how to create sublime

Première vidéo de la formation au logiciel Inkscape de l'Urfist Méditerranée Voir la formation sur Callisto Cette vidéo présente brièvement les principes de fonctionnement des images matricielles

Despite our great expressive skills, we humans lack an easy way of conveying the 3D worlds we imagine. While impressive advances were made in the last fifteen years to evolve digital modeling

The reconstruction of 3D scenes and their appearance from imagery is one of the longest-standing problems in computer vision. Originally developed to support robotics and artificial intelligence