Deep Multi-class Adversarial Specularity Removal

no code implementations • 4 Apr 2019 • John Lin, Mohamed El Amine Seddik, Mohamed Tamaazousti, Youssef Tamaazousti, Adrien Bartoli

We propose a novel learning approach, in the form of a fully-convolutional neural network (CNN), which automatically and consistently removes specular highlights from a single image by generating its diffuse component.

Generative Collaborative Networks for Single Image Super-Resolution

1 code implementation • 27 Feb 2019 • Mohamed El Amine Seddik, Mohamed Tamaazousti, John Lin

In this paper, we present a general framework named \textit{Generative Collaborative Networks} (GCN), where the idea consists in optimizing the \textit{generator} (the mapping of interest) in the feature space of a \textit{features extractor} network.

Image Super-Resolution