48 citations · 52 across the 5 of their papers we have counts for
5 papers
Implementing a Machine Learning Deformer for CG Crowds: Our Journey
Bastien Arcelin, Sebastien Maraux, Nicolas Chaverou
CG crowds have become increasingly popular this last decade in the VFX and animation industry: formerly reserved to only a few high end studios and blockbusters, they are now widel…
Audio2Rig: Artist-oriented deep learning tool for facial animation
Bastien Arcelin, Nicolas Chaverou
Creating realistic or stylized facial and lip sync animation is a tedious task. It requires lot of time and skills to sync the lips with audio and convey the right emotion to the c…
Comparison of Graphcore IPUs and Nvidia GPUsfor cosmology applications
Bastien Arcelin
This paper represents the first investigation of the suitability and performance of Graphcore Intelligence Processing Units (IPUs) for deep learning applications in cosmology. It p…
A Bayesian Convolutional Neural Network for Robust Galaxy Ellipticity Regression
Claire Theobald, Bastien Arcelin, Frédéric Pennerath +3
Cosmic shear estimation is an essential scientific goal for large galaxy surveys. It refers to the coherent distortion of distant galaxy images due to weak gravitational lensing al…
Deblending galaxies with Variational Autoencoders: a joint multi-band, multi-instrument approach
Bastien Arcelin, Cyrille Doux, Eric Aubourg +2
Blending of galaxies has a major contribution in the systematic error budget of weak lensing studies, affecting photometric and shape measurements, particularly for ground-based, d…