# Is Simulating Wet Papers Possible? 📃💧 ## Метаданные - **Канал:** Two Minute Papers - **YouTube:** https://www.youtube.com/watch?v=_4fL4jnC8xQ - **Дата:** 27.04.2021 - **Длительность:** 6:43 - **Просмотры:** 443,960 ## Описание ❤️ Check out Weights & Biases and sign up for a free demo here: https://www.wandb.com/papers ❤️ Their mentioned post is available here: https://wandb.ai/authors/RayTune-dcgan/reports/Ray-Tune-Distributed-Hyperparameter-Optimization-at-Scale--VmlldzoyMDEwNDY 📝 The paper "A moving least square reproducing kernel particle method for unified multiphase continuum simulation" is available here: https://cg.cs.tsinghua.edu.cn/papers/SIGASIA-2020-fluid.pdf 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Aleksandr Mashrabov, Alex Haro, Alex Serban, Andrew Melnychuk, Angelos Evripiotis, Benji Rabhan, Bryan Learn, Christian Ahlin, Eric Haddad, Eric Martel, Gordon Child, Haris Husic, Ivo Galic, Jace O'Brien, Javier Bustamante, John Le, Jonas, Kenneth Davis, Lorin Atzberger, Lukas Biewald, Matthew Allen Fisher, Mark Oates, Michael Albrecht, Nikhil Velpanur, Owen Campbell-Moore, Owen Skarpness, Ramsey Elbasheer, Robin Graham, Steef, Taras Bobrovytsky, Thomas Krcmar, Torsten Reil, Tybie Fitzhugh, Ueli Gallizzi. If you wish to appear here or pick up other perks, click here: https://www.patreon.com/TwoMinutePapers Károly Zsolnai-Fehér's links: Instagram: https://www.instagram.com/twominutepapers/ Twitter: https://twitter.com/twominutepapers Web: https://cg.tuwien.ac.at/~zsolnai/ ## Содержание ### [0:00](https://www.youtube.com/watch?v=_4fL4jnC8xQ) dear fellow scholars this is two minute papers with dr karo jonai fajir yes you see it correctly this is a paper on paper the paper if you will and today you will witness some amazing works in the domain of computer graphics and physics simulations there is so much progress in this area for instance we can simulate honey coiling baking and melting bouncy jelly and many related phenomena and none of these techniques use any machine learning these are all good old-fashioned handcrafted algorithms and using these we can simulate stretching and compression to the point that muscle movement simulations are possible when attaching muscles to bones as we move the character the muscles move and contract accurately what's more this work can even perform muscle growth simulations so are we done here did these ingenious computer graphics researchers max out physics simulation where there is nothing else to do oh no of course not look this footage is from an earlier computer graphics paper that simulates viscosity and melting fluids and what i would like you to look at here is not what it does but what it doesn't do it starts melting these armadillos beautifully however there is something that it doesn't do which is mixing the materials start separate and remain separate can we improve upon that somehow well this new paper promises that and so much more that it truly makes my head spin for instance it can simulate hyperelastic elastoplastic viscous fracturing and multiphase coupling behaviors and most importantly all of these can be simulated within the same framework not one paper for each behavior one paper that can do all of these that is absolutely insane so what does all that mean well i say let's see them all right now through five super fun experiments ### [2:16](https://www.youtube.com/watch?v=_4fL4jnC8xQ&t=136s) Experiment Number One Wet Papers experiments experiment number one wet papers as you see this technique handles the ball of water okay we've seen that before and what else well it handles the paper too okay that's getting better but hold on to your papers and look it also handles the water's interaction with the paper now we're talking and careful with holding on to that paper because if you do it correctly this might happen as you see the arguments contained within this paper really hold water ### [2:51](https://www.youtube.com/watch?v=_4fL4jnC8xQ&t=171s) Experiment Number Two Fracturing experiment number two fracturing as you know most computer graphics papers on physics simulation contain creative simulations to destroying armadillos in the most spectacular fashion this work is of course no different yum experiment number three this solution here we take a glass of water add some starch powder it starts piling up and then slowly starts to dissolve and note that the water itself also becomes stickier during the process number four dipping we first take a piece of biscuit and dip it into the water note that the coupling works correctly here in other words the water now moves but what is even better is that the biscuit started absorbing some of that water and now when we rip it apart oh yes excellent and as a light transport researcher by trade i love watching the shape of biscuits distorted here due to the refraction of the water this is a beautiful demonstration of that phenomenon and number five the dog what kind of dog ### [4:05](https://www.youtube.com/watch?v=_4fL4jnC8xQ&t=245s) The Dog you ask well this virtual dog gets a big splash of water starts shaking it off and manages to get rid of most of it but only most of it and it can do all of these using one algorithm not one per each of these beautiful phenomena one technique that can perform all of these that is absolutely amazing but it does not stop there it can also simulate snow and it not ### [4:35](https://www.youtube.com/watch?v=_4fL4jnC8xQ&t=275s) Simulate Snow only does it well but it does that swiftly how swiftly it simulated this a bit faster than one frame per second the starch powder experiment was about one minute per frame and the slowest example was the dog shaking off the ball of water the main reason for this is that it required near a quarter million particles of water and for hair and when the algorithm computes these interactions between them it can only advance the time in very small increments it has to do this a hundred thousand times for each second of footage that you see here based on how much computation there is to do that is really fast and don't forget that the first law of paper says that research is a process do not look at where we are will be two more papers down the line and even now the generality of this system is truly something to behold congratulations to the authors on this amazing paper what a time to be alive so if you wish to read a beautifully written paper today that does not dissolve in your hands i highly recommend this one this episode has been supported by weights and biases in this post they show you how to use their tool to perform distributed hyper parameter optimization at scale weights and biases provides tools to track your experiments in your deep learning projects their system is designed to save you a ton of time and money and it is actively used in projects at prestigious labs such as open ai toyota research github and more and the best part is that weights and biases is free for all individuals academics and open source projects it really is as good as it gets make sure to visit them through wnb. com papers or just click the link in the video description and you can get a free demo today our thanks to weights and biases for their long-standing support and for helping us make better videos for you thanks for watching and for your generous support and i'll see you next time --- *Источник: https://ekstraktznaniy.ru/video/13926*