3 papers
cs.CV2020
Tarsier: Evolving Noise Injection in Super-Resolution GANs
Baptiste Roziere, Nathanal Carraz Rakotonirina, Vlad Hosu +4
Super-resolution aims at increasing the resolution and level of detail within an image. The current state of the art in general single-image super-resolution is held by NESRGAN+, w…
eess.IV2020
ESRGAN+ : Further Improving Enhanced Super-Resolution Generative Adversarial Network
Nathanaël Carraz Rakotonirina, Andry Rasoanaivo
Enhanced Super-Resolution Generative Adversarial Network (ESRGAN) is a perceptual-driven approach for single image super resolution that is able to produce photorealistic images. D…
cs.DM2016
The Maximum Block Size of Critical Random Graphs
Vonjy Rasendrahasina, Andry Rasoanaivo, Vlady Ravelomanana
Let be the uniform random graph with vertices and edges. Let be the maximum block-size of or the maximum size of its maximal -connected ind…