Search Results for author:
Found 3 papers, 2 papers with code
Cross-Domain Face Synthesis using a Controllable GAN
This allows generating realistic synthetic face images that reflects capture conditions in the target domain while controlling the GAN output to generate faces under desired pose conditions.
A Paired Sparse Representation Model for Robust Face Recognition from a Single Sample
In order to account for non-linear variations due to pose, a paired sparse representation model is introduced allowing for joint use of variational information and synthetic face images.
Domain-Specific Face Synthesis for Video Face Recognition from a Single Sample Per Person
A compact set of synthetic faces is generated that resemble individuals of interest under the capture conditions relevant to the OD.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
