Tutorial on diffusion models for imaging and vision

221 pointsposted a year ago
by Anon84
(arxiv.org)

20 Comments

redblacktree

a year 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

a year 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

a year ago

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

yinser

a year ago

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

slashdave

a year 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_

a year ago

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

whimsicalism

a year ago

the math is learnable and with gpt nowadays, extremely so

mdp2021

a year 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

a year ago

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

CamperBob2

a year 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

a year ago

[deleted]