New answers tagged

1

The paper has sources, that contains these plots in pdf. I've converted those to svg and managed to rip the actual data: xdata = [-0.6,-3.33,-1.93,0.67,-2.63,-3.1,-5.93,-1.87,-3.93,-3.47,1.0,-3.43,-3.83,0.6,-0.47,-3.6,-1.37,-4.87,-3.63,3.53,4.33,1.73,2.63,4.13,-0.13,2.33,-1.6,-6.83,-1.5,-6.37,3.73,0.2,-0.73,-3.17,2.43,-0.3,-1.2,-1.97,-0.3,-2.9,-2.13,-1.4,4....


1

This is quite a difficult task and is still an open area of research. The idea behind the GANs is to map latent features (e.g. rotation, age) to an output image, but the problem is that the source data comes from an unknown probability distribution. GANs aim to approximate it by sampling this latent feature vector from a simple known distribution (e.g. ...


Top 50 recent answers are included