How VAE's ELBO with a probability distribution able to make pixels.
📰 Reddit r/deeplearning
Please give me an intuitive explanation on how in ELBO \text{ELBO} = \log p(x) - \text{KL}(q(z\vert x) \parallel p(z \vert x)) \tag{2} \label{eq:2} with log proabliityies log p(x) helps generate images with pixel range 0-255 ? What confuses me is that p(x) is our model, p is a probability density function(pdf) with output between 0 and 1 and log(p(x)) is (-infinity, 0] . The
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