Matthieu Perrot

Real-time Virtual-Try-On from a Single Example Image through Deep Inverse Graphics and Learned Differentiable Renderers

Augmented reality applications have rapidly spread across online platforms, allowing consumers to virtually try-on a variety of products, such as makeup, hair dying, or shoes. However,...

CA-GAN: Weakly Supervised Color Aware GAN for Controllable Makeup Transfer

While existing makeup style transfer models perform an image synthesis whose results cannot be explicitly controlled, the ability to modify makeup color continuously is a desirable property for...

AgingMapGAN (AMGAN): High-Resolution Controllable Face Aging with Spatially-Aware Conditional GANs

Existing approaches and datasets for face aging produce results skewed towards the mean, with individual variations and expression wrinkles often invisible or overlooked in favor of global...

Scikit-learn: Machine Learning in Python

Scikit-learn is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised problems. This package focuses on bringing...

Deep Graphics Encoder for Real-Time Video Makeup Synthesis from Example

While makeup virtual-try-on is now widespread, parametrizing a computer graphics rendering engine for synthesizing images of a given cosmetics product remains a challenging task. In this paper, we...

Learning Long-Term Style-Preserving Blind Video Temporal Consistency

When trying to independently apply image-trained algorithms to successive frames in videos, noxious flickering tends to appear. State-of-the-art post-processing techniques that aim at fostering...

Hair Color Digitization through Imaging and Deep Inverse Graphics

Hair appearance is a complex phenomenon due to hair geometry and how the light bounces on different hair fibers. For this reason, reproducing a specific hair color in a rendering environment is a...

Classification of MRI data using Deep Learning and Gaussian Process-based Model Selection

The classification of MRI images according to the anatomical field of view is a necessary task to solve when faced with the increasing quantity of medical images. In parallel, advances in deep...

Weak Segmentation-Guided GAN for~Realistic Color Edition

Editing the color of images in a realistic way finds many applications such as changing the perception of an image, data augmentation or film post processing. The design of an automatic tool is a...

Classification of MRI data using deep learning and Gaussian process-based model selection

Identifying cortical sulci from localization, shape and local organization

Structural group analysis of cortical curvature and depth patterns in the developing brain

Validation of consistent inter-subject connectivity-based parcellation

Predictive support recovery with TV-Elastic Net penalty and logistic regression: An application to structural MRI

Weak Segmentation-Guided GAN for Realistic Color Edition

Deep Graphics Encoder for Real-Time Video Makeup Synthesis From Example

Joint Bayesian Cortical Sulci Recognition and Spatial Normalization

Hair color digitization through imaging and deep inverse graphics