ycy

4 ms·

1.
by ycy 3y ago
It is hard to quantify the performance of samplers on individual images, but we have quantitative experiments on pretrained models in our paper ( https://arxiv.org/pdf/2306.04848.pdf ). Table 2 has a comparison to other
2.
by ycy 3y ago
Glad you liked it! Just curious, what else would you like to see to make the post more complete? I had focused on getting through the basics of diffusion training and sampling as concisely as possible, but perhaps in future posts I can delv
3.
by ycy 3y ago
The 2d toy models such as the swissroll takes 2 mins to train on the CPU, whereas the fashionMNIST model takes a couple hours on any modern GPU
4.
by ycy 3y ago
Yes, these blog posts offer a different perspective on diffusion models from the "projection onto data" perspective described in this blog post. You can view them as different ways of interpreting the same training objective and s
5.
by ycy 3y ago
My intention was to omit the details of batching in the blog post for clarity of exposition, and I'll update the post accordingly. Sorry for the confusion, but you can see the full implementation here: https://github.com&#x2
6.
by ycy 3y ago
Author here, when I tried to understand diffusion models I realized that the code and math can be greatly simplified, which led to me writing this blog post and diffusion library. Happy to answer any questions.
7.
by ycy 13y ago
Nope, scheme is still being taught in the "Python class". The final project is writing a Scheme interpreter in Python, so students still get to learn Scheme. http://www-inst.eecs.berkeley.edu/~cs61a/sp13/projects/schem...
8.
by ycy 14y ago
I never stop discovering features in emacs, for example I found out about embedded calc mode yesterday. I was so impressed by it that I made a screencast demoing its features: http://www.youtube.com/watch?v=OPMgj3XWi8Q