Our paper Adversarial Networks for Spatial Context-Aware Spectral Image Reconstruction from RGB, accepted at ICCV 2017 Workshop on Physics-Based Vision meets Deep Learning

Our paper Adversarial Networks for Spatial Context-Aware Spectral Image Reconstruction from RGB, has been accepted for oral presentation at the ICCV 2017 Workshop on Physics-Based Vision meets Deep Learning, to be held next October 23rd in Venice, Italy.

The paper shows how we can use the framework provided by the Generative Adversarial Networks (GANs) in a conditional setting in order to accurately reconstruct a hyperspectral image composed by 31 channels, taking only an RGB image as input.

Full program and schedule for the workshop can be found here, and a detailed pdf version with the program for all the workshops is available here