All Questions
3 questions
9
votes
5
answers
13k
views
Why is the variational auto-encoder's output blurred, while GANs output is crisp and has sharp edges?
I observed in several papers that the variational autoencoder's output is blurred, while GANs output is crisp and has sharp edges.
Can someone please give some intuition why that is the case? I did ...
- 269
7
votes
1
answer
7k
views
Why doesn't VAE suffer mode collapse?
Mode collapse is a common problem faced by GANs. I am curious why doesn't VAE suffer mode collapse?
- 269
0
votes
1
answer
238
views
Does average loss function in GAN training is just an approximation of value function and does not ensure convergence of generator and discriminator?
The value function on which convergence has been proved by the original paper of GAN is
$$\min_G \max_DV(D, G) = \mathbb{E}_{x ∼ P_{data}}[\log D(x)] + \mathbb{E}_{z ∼ p_z}[log (1 - D(G(z)))]$$
and ...
- 3,990