no code implementations • 4 Jan 2021 • Manel Mateos, Alejandro González, Xavier Sevillano
Instead of re-training the GAN, our approach adds into the mix an encoder network to generate the high-dimensional random input vectors that are fed to the generator network of a non-conditional GAN to make it generate images from a specific subcategory.
no code implementations • 14 Jul 2014 • Alejandro González, Sebastian Ramos, David Vázquez, Antonio M. López, Jaume Amores
In particular, we propose to use two-stage classifiers which not only rely on the image descriptors required by the base classifiers but also on the response of such base classifiers in a given spatiotemporal neighborhood.