3 papers
cs.CV2020
R-MNet: A Perceptual Adversarial Network for Image Inpainting
Jireh Jam, Connah Kendrick, Vincent Drouard +3
Facial image inpainting is a problem that is widely studied, and in recent years the introduction of Generative Adversarial Networks, has led to improvements in the field. Unfortun…
cs.LG2020
Variational Inference and Learning of Piecewise-linear Dynamical Systems
Xavier Alameda-Pineda, Vincent Drouard, Radu Horaud
Modeling the temporal behavior of data is of primordial importance in many scientific and engineering fields. Baseline methods assume that both the dynamic and observation equation…
cs.CV2020
Symmetric Skip Connection Wasserstein GAN for High-Resolution Facial Image Inpainting
Jireh Jam, Connah Kendrick, Vincent Drouard +3
The state-of-the-art facial image inpainting methods achieved promising results but face realism preservation remains a challenge. This is due to limitations such as; failures in p…