Tutorial on diffusion models for imaging and vision

221 pointsposted 10 months ago
by Anon84
(arxiv.org)

20 Comments

redblacktree

10 months ago

Does something similar exist for LLM/GPT?

Edit to add: I'm mostly interested in this aspect:

"The target audience of this tutorial includes [those] who are interested in [...] applying these models to solve other problems."

LarsDu88

10 months ago

This paper is much clearer and succinct than the original papers from the field.

Trying to build a protein diffusion model from scratch right now.

The math explainer is quite helpful

LarsDu88

10 months ago

The first diffusion model for text generation was published less than a year ago. Should add something about that

yinser

10 months ago

> see tutorial on diffusion > get excited > it's all math in latex > despair

slashdave

10 months ago

Latex is great in this case, because the equations are all written out clearly.

If you want to understand diffusion, it's a little difficult to avoid math.

sva_

10 months ago

Maybe check out the fast ai course. Jeremy Howard has a way of explaining stuff.

whimsicalism

10 months ago

the math is learnable and with gpt nowadays, extremely so

mdp2021

10 months ago

You are right! LLMs accept the formulas and may explain them...

It will be more difficult to tell when they are wrong, though - when you cannot verify directly. But it will be a device for people to get acquainted with the math.

Sharlin

10 months ago

Diffusion is math. It’s difficult to avoid math if you want to understand math.

CamperBob2

10 months ago

Be that as it may, this isn't what I'd call a "tutorial," in the sense that you'd better already have a strong command of the subject matter or you won't get much out of it.

user

10 months ago

[deleted]