I have successfully adapted the VAE tutorial in pyro for my use case involving images. As expected, the quality of images generated weren’t of high quality. (Although the vae model learnt the distribution and was able to reconstruct the images to an extent)
Is it possible to implement a GAN in pyro ? (I need to do condition and intervention queries on some of the nodes of the DAG - that produces the image and hence i need a probabilistic model)
In GAN we need two optimizer’s … one for generator and one for discriminator. That would essentially mean we need to have 2 models and guide from a pyro standpoint ?