[HN Gopher] What Are Diffusion Models?
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What Are Diffusion Models?
Author : headalgorithm
Score : 107 points
Date : 2021-07-12 10:49 UTC (12 hours ago)
(HTM) web link (lilianweng.github.io)
(TXT) w3m dump (lilianweng.github.io)
| heydenberk wrote:
| I can't recommend this blog highly enough. Just about every post
| provides a deeply detailed, understandable overview on a subject
| at the frontier of ML research
| btowngar wrote:
| Completely agreed, a fantastic blog.
| stevofolife wrote:
| I also find Eugene Yan's less technical blog to be similarly
| fantastic. https://eugeneyan.com/
| MPSimmons wrote:
| Not being completely fluent in the ML space, I'm not completely
| clear on the applicability of this technique.
|
| Broadly, is this useful for determining the already-diffused
| pattern of data and determining the original inputs, or
| determining the diffused output without needing to iterate fully
| and produce the result manually, or both, or am I completely off?
| eutectic wrote:
| They are a way of training generative models similar to GANs or
| autoencoders.
|
| My understanding is that if you train an autoencoder with a
| gaussian likelihood then you will tend to get fuzzy samples,
| but using an iterative process where each step is a gaussian
| conditioned on the previous step can give you nicer samples.
| nharada wrote:
| Thanks for the link and the blog post. Diffusion models have
| definitely been making waves over the last year or two and I've
| been slacking on really digging in.
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