69 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Analyse, Géométrie et ModélisationFR3 papers
- Centre National de la Recherche ScientifiqueFR3 papers
- Institut Polytechnique de ParisFR2 papers
- Universidad Complutense de MadridES2 papers
- Centre de Physique ThéoriqueFR1 paper
- Collège de FranceFR1 paper
- École PolytechniqueFR1 paper
- FACE FoundationUS1 paper
- Fuzzy Systems InstituteJP1 paper
- Institut de Recherche Mathématique AvancéeFR1 paper
- IST Medical (France)FR1 paper
- Laboratoire Interdisciplinaire de PhysiqueFR1 paper
5 papers · 1 filter
Deep Graphics Encoder for Real-Time Video Makeup Synthesis from Example
Robin Kips, Ruowei Jiang, Sileye Ba +5
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. I…
Learning Long-Term Style-Preserving Blind Video Temporal Consistency
Hugo Thimonier, Julien Despois, Robin Kips +1
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…
AgingMapGAN (AMGAN): High-Resolution Controllable Face Aging with Spatially-Aware Conditional GANs
Julien Despois, Frederic Flament, Matthieu Perrot
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 o…
CA-GAN: Weakly Supervised Color Aware GAN for Controllable Makeup Transfer
Robin Kips, Pietro Gori, Matthieu Perrot +1
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…
Dealing with Topological Information within a Fully Convolutional Neural Network
Etienne Decencière, Santiago Velasco-Forero, Fu Min +6
A fully convolutional neural network has a receptive field of limited size and therefore cannot exploit global information, such as topological information. A solution is proposed…