# Finally, This Table Cloth Pull is Now Possible! 🍽 ## Метаданные - **Канал:** Two Minute Papers - **YouTube:** https://www.youtube.com/watch?v=KZhoU_3k0Nk - **Дата:** 07.12.2021 - **Длительность:** 5:49 - **Просмотры:** 71,771 - **Источник:** https://ekstraktznaniy.ru/video/13738 ## Описание ❤️Check out Perceptilabs and sign up for a free demo here: https://www.perceptilabs.com/papers 📝 The paper "Codimensional Incremental Potential Contact (C-IPC)" is available here: https://ipc-sim.github.io/C-IPC/ Erratum: The cover page in the first frame of the video is from a previous paper. It should be pointing to this: https://ipc-sim.github.io/C-IPC/file/paper.pdf ❤️Watch these videos in early access on our Patreon page or join us here on YouTube: - https://www.patreon.com/TwoMinutePapers - https://www.youtube.com/channel/UCbfYPyITQ-7l4upoX8nvctg/join 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Aleksandr Mashrabov, Alex Haro, Andrew Melnychuk, Angelos Evripiotis, Benji Rabhan, Bryan Learn, Christian Ahlin, Eric Martel, Gordon Child, Ivo Galic, Jace O'Brien, Javier Bustamante, John Le, Jonas, Kenneth Davis, Klaus Busse, Lorin Atzberger, Lukas Biewald, Matthew Allen Fisher, Mark Oates, Michael Albrecht, Michael Tedder, Nikhil V ## Транскрипт ### [] Dear Fellow Scholars, this is Two Minute Papers with Dr. Károly Zsolnai-Fehér. Today is a glorious day, because we are going to witness the first table cloth pull simulation ### Table Cloth Trick - 0.5m/s Pull [0:07] I have ever seen. Well, I hoped that it would go a little more glorious than this. Maybe if we pull a bit quicker. Yes, there we go, and…we’re good. Loving it. Now, if you are a seasoned Fellow Scholar, you might remember from about 50 videos ago that we covered the predecessor of this paper, called Incremental Potential Contact, IPC in short. So, what could it do? It could perform seriously impressive squishing experiments. And it also passed the tendril test, where we threw a squishy ball at a glass wall, and watched this process from the other side. A beautiful, and rare sight indeed. Unless you have cats and glass tables at home, of course. Outstanding. ### Knife Pleats Rhumba [1:03] So, I hear you asking, Károly, are you trying to say that this new paper tops all that? Yes, that is exactly what I am saying. The table cloth pulling is one thing, but it can do so much more. ### Table Cloth Trick - 4m/s Pull [1:15] You can immediately start holding on to your papers, and let’s go. This new variant of IPC is capable of simulating super thin materials, and all this in a penetration-free manner. Now, why is that so interesting or difficult? Well, that is quite a challenge, remember this earlier paper with the barbarian ship. Tons of penetration artifacts. And that is not even a thin object. Not nearly as thin as this stack would be. ### Related Work: Constraint Offset [1:46] Let’s see what a previous simulation method would do with this if these are 10 millimeters each. That looks reasonable, now let’s cut the thickness of the sheets in half. Yes, some bumpy artifacts appear, and at 1 millimeter, my goodness. It’s only getting worse. And, when we plug in the same thin sheets into the new simulator. ### C-IPC: Controllable Elastic Thickness [2:08] All of them look good, and what’s more, they can be simulated together with other ### C-IPC: Indentation Effect via Elastic Thickness [2:14] elastic objects without any issues. And this was a low-stress simulation. If we use the previous technique for a higher-stress simulation. ### Challenge: Thickness modeling under Large Stress [2:24] This starts out well, until…uh-oh. The thickness of the cloth is seriously decreasing over time. That is not realistic. But, if we plug the same scene into the new technique, now that is realistic. ### C-IPC: Inelastic Thickness with Constraint Offset [2:38] So, what is all this good for? Well, if we wish to simulate a bowl of noodles, tons of thick objects, let’s see if we can hope for an intersection-free simulation. Let’s look under the hood…and, there we go! ### Noodles - bottom view [2:56] All of the noodles are separated. But wait a second, I promised you thin objects, these are not thin. Yes, now these, are thin. Still, no intersections. That is absolutely incredible. Other practical applications include simulating hair. ### Braids [3:16] Braids in particular. Granular materials against a thin sheet work too. And, if you have been holding on to your papers so far, now, squeeze that paper, because the ### Cards: Bridge Finish [3:29] authors promise that we can even simulate this in-hand shuffling technique in a virtual world. Well, I will believe it when I see it. ### "Precision" Bridge Shuffle [3:39] Let’s see…my goodness. Look at that. Love the attention to detail where the authors color coded the left and right stack so we can better see how they mix, and if they intersect. Spoiler alert: they don’t. What a time to be alive! It can also simulate this piece of cloth with a ton of detail, and not only that, with large ### Cloth on Sphere [3:59] timesteps, which means that we can advance the time after each simulation step in bigger packets, thereby speeding up the execution time of the method. I also love how we get a better view of the geometry changes as the other side of the cloth has a different color. Once again, great attention to detail. We are still in the minutes per frame region, and note that this runs on your processor, therefore, if someone can implement this on the graphics card in a smart way, it could ### Spheres [4:34] become close to real time in at most a couple papers more down the line. And, this is a research paper that the authors give away to all of us, free of charge. How cool is that. Thank you. Thank you so much for creating these miracles and just giving them away for free. What a noble endeavor research is! Thanks for watching and for your generous support, and I'll see you next time!