Monte Carlo Geometry Processing
youtube.com
youtube.com
Maybe this is the standard for the computer graphics community, but I love how the paper is accompanied by this great webpage and videos. Very inspiring, this is how publications should be done in this day and age: Alongside with material making it easier to understand it.
https://www.cs.cmu.edu/~kmcrane/Projects/Other/IllustratingG...
For example, a recent paper of his team "Repulsive Surfaces" is on arXiv, where the source files of the preprint PDF are available for download
The inset figures are probably placed using the “wrapfigure” LaTeX package. It’s janky and frustrating to use, but I agree the results look great!
EDIT: Incidentally the template changed recently and people within the graphics community complained about some aspects of it, e.g. the equation typesetting and how subsections and lists are formatted. It's good to hear that people outside the community like it.
engineers in life: "OMG how do you draw like that, amazing" (guy draws a ball)
"OMG how do u explain things so well" (uses basic essay structure)
Like with most stuff Keenan Crane and his lab produces and has produced) ... super high-quality research, easy to understand, almost immediately applicable to engineering problems, and super-well explained.
What a treat!
Well worth the watch.
That's my view of the method in a nutshell: using walk-on-spheres as a practical method to solve PDEs arising in simulations is a departure from what most people have tried in recent years. Whether it's a total game-changer or a curious novelty will depend on whether it generalizes beyond diffusion-like PDEs.
> babe wake up, a new keenan crane lecture just dropped.
First time I hear about Keenan Crane, but gosh, from now on, I'll keep an eye for videos produced by him. Like I keep an eye out for 3Blue1Brown, Mathologer and Veritasium. Now Keenan Crane is on that list. Except, he's a bit higher.
You might want to start with this most excellent series from 2021 on discrete differential geometry.
https://www.youtube.com/watch?v=mas-PUA3OvA
This guy really has a gift to explain complex math problems in a very intuitive fashion.
There's also the fact that - unlike much advanced math stuff - most of the things he presents is very new and can actually be implemented.
After much futzing it seems to be the only sane way. Fast too.