Crazy 50,000,000 Point Bouncy Jelly Simulation!
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- เผยแพร่เมื่อ 27 ก.ย. 2024
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📝 The paper "Vertex Block Descent" is available here:
ankachan.githu...
Notes from the authors:
“The range you mentioned (100x to 1000x) is appropriate. However, please keep in mind that, as we noted in the paper, this figure is specific to the simulation settings we selected. For relatively tame experiments with less stretching and motion, and especially for highly stiff and high-resolution simulations that are much more expensive to simulate, we would expect Newton’s method to eventually overtake all alternatives beyond a certain level of convergence.”
Fluid control:
users.cg.tuwie...
users.cg.tuwie...
📝 My paper on simulations that look almost like reality is available for free here:
rdcu.be/cWPfD
Or this is the orig. Nature Physics link with clickable citations:
www.nature.com...
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What an elastic time to be bounced alive! 🎉
These simulations are getting out of hand!
🤨🤨
What a time to be jiggly
@@Mertiven 😂
hold on to your armadillo
Blender desperately need to integrate this
just what was on my mind all the video
I was thinking BeamNG, IDK but I doubt it would be impossible to add plasticity into this
BeamNG's physics has a very low mesh resolution, and unstable enough that it really sounds like a pain to work with
I'm undereducated on how software works.. Do they need an AI to do this? And if so, wouldn't there be a way to p2p train it through the open source network? And if so, then why tf do we need these manufacturers? (I know physical systems somewhat well so if you can compare to physical stuff that would be amazing!)
@@JustfknBill not ai, just a good technique. And people want it integrated into blender as blender’s system is comparatively outdated and slow.
@@JustfknBill as far as I know, some software start with a good library written by the developers that allows them to do things that other software can't, and build their product around that. Autodesk is famous for acquiring these software to get their technology and then shutting them off.
There are also companies that specialize in making kernel libraries to be integrated in other software, and they sell them the license to use that technology. These deals are usually extremely expensive, as developing such libraries requires decades of work from a team of people who are both very good at advanced mathematics and computer science, and there's probably a handful of people who would qualify. Software that use these licenses just can't be free.
I believe these papers are open-source, but I don't know. if they are open-source, then any software company should be able to add them in without any fee. It still probably requires some extensive programming, but the hard part is done.
I've seen many questions about the platform it runs on. As the first author of the paper, let me clarify:
All the demos run on a consumer PC with an RTX 4090 and a Ryzen 5950X.
Additionally, the method supports both rigid body dynamics and fluid dynamics.
You are an author? Congrats, this was awesome!
Your work is amazing, and still just a PhD candidate? Can't wait to see your future papers!
This is truly amazing work.
Massive respect 💫
👏👏👏👏👏👏👏
SIR IM HOLDING ONTO MY PAPERS VERY HARD
SIR I AM SQUEEZING THEM
For those not familiar with the topic, things took DECADES to get to this point where elastic simulations of this kind now take seconds per frame, even when involving millions of collision calculations. The typical physics solver would rather explode than to even finish the simulation, and potentially take HOURS to calculate it. That's why this is impressive, so it's important to first put things in perspective. 🙂
pls forgive my ignorance, but when this will reach ... humm ... 60/120 fps? and when it will be implemented in offline singleplayer games?
Wow impossible to guess it might happen within 5 years😊
@@el-_-grando-_-_-scabandri Maybe 2-3 papers down the line? But looking at the existing physics solvers, a couple of seconds per frame with millions of collisions is totally unheard of. Just by itself, this is extraordinary. Like I said above, we have to put this in perspective. ^^
@@el-_-grando-_-_-scabandri It can already reach that, just not with the millions they are showing in the video, if you were to scale it down to tens or hundreds of thousands, then it would probably take less time
@@el-_-grando-_-_-scabandrifor sims with smaller scales (I mean with 100k vertices, it's already in real time)
This jiggle physics will have good applications, of course, for educational purposes 🍑
thicc squishy jelly a.. 😍
@@Roberto-nb5cbbigger please 😂
In Stellar Blade 2 hopefully :)
I was searching the comments for project ideas. Looks like we found a winner.
Obviously strictly for research purposes 🎂
*Men of culture, we meet again.*
I love it when it's not reliant on AI, feels like we actually discovered a new technique instead of using a very very cool hammer to solve all our problems
Lol, love the analogy.
It's *almost* how machine learning works. 😄
You still haven't learned the Bitter Lesson, I see.
Yes, that is exactly how i felt.
Károly: "Let's flatten this poor little armadillo"
The little armadillo: Yes?
Your enthusiasm is incredibly contagious!
Would love to see the new paper by Anthropic, it's really interesting: "Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet".
I know you're the two minute papers guy, but would you ever consider doing an overview video on the current best/workhorse simulation methods? There's so many, running on such similar looking benchmark tasks, that I feel lost every time a new one comes out. I just want to know what's out there, haha.
"University of Utah & Roblox, USA" - why roblox? haha in 7:18
Probably also works at Roblox
Learned more about programming from Roblox than the Uni.
It turns out (suddenly) the Roblox engine does not write itself
roblox is interested in world domination
genius papper wowww loved it just imagine what could be possible in two more papper
Now that's what I'm talking about!! Restir and cutting edge physics simulation videos one right after the other, and it's all hand crafted with no AI! This is what I am here for!
No AI here? Wow! I almost lost my papers not holding onto them enough!
Keep the videos coming! Thank you!
It's nice to see TMP get back to roots. AI is amazing but this is the good stuff we've been missing.
Dr. Cem Yuksel continues to be part on amazing research projects lol. Props to the team for doing this job!
The occasional graphics/simulations video, eh? :^)
Glad to have you back, if only for 8 minutes every once in half a year.
This is absolutely amazing. A nice break from the AI stuff to talk about an amazing paper like this.
Has a Houdini vellum enthusiast myself, I love this video
As a regular user of FEA and CFD, this is astonishing! Can't wait to see the jump in productivity in the coming years. This is what AI should be used for.
It is truly refreshing to hear "No AI was used here"
Cool. I knew one of the authors, Cem, from grad school. Small world. Thanks for reporting, Károly. Connections like these emphasize the "human" in human ingenuity.
Hah I was watching distractedly, I though to myself "well OK there are some things where AI people are really useful" and then you said "no AI is used here". What a time to be alive!
Amazing quality and speed! Stunning!
This is awesome I've been pretty down and sick lately but this made it a bit better 🙂
Wow! Hats off to the researchers.
Could this also simulate more rigid structures correctly? Then it could work for large scale simulations e.g. of earthquake scenarios. Shake up the whole city.
Ok, this looks like it can actually be used in games now. Not in a specialized, either optional or highly focused way but just as a general gameplay feature. So cool!
(Ok, I didnt watch the whole video; seconds per frame obviously requires 2 more papers for usability in videogames :D)
Speed and 'how fast' it is seems to be mentioned all the time... on what computer? A super computer and/or a gaming computer?
If it is a supercomputer, these advancements are going to help us develop the same level of processing power on more accessible devices.
When we look back 20 years to what a household computer could do and compare it to the standard computer today, the advancements have been huge. The speed of advancement is only growing so I'd guess that within 5 years, devices with the computing power to complete the simulations seen in the video today will be well within the public's reach, likely on devices such as or as small as our cellphones.
This is however, just my assumptions.
thank you for the video. Always excited for ingeneous hand-crafted techniques!
As a 3D hobbyist, at last we arrived there! I spent days simulating fluids, softbody and hardbody simulations that took several hours to simulate a few seconds. Will it come to our favorite 3D packages soon?
This looks promising 🤔 gotta apply that to some specific body parts for more stability. I love science ❤
I love it when you cover papers like this
That is the first step to functional virtual muscles, right?
seconds per frame when gaming: 👎
seconds per frame when simulating: 👍
Now to do the the same but with tearing on top of elasticity (in the same simulation I mean). Next paper perhaps?
don't get me wrong, generative AI is cool and all but i definitely missed me some Classic TMP
This is amazing - no AI and we're at just a few seconds?
That probably means we can do this in real time with AI.
I'm sure the Corn industry is going to put a lot of money into these simulations.
I've spent most of my life researching things that jiggle. 😁
Wonderful, I love really squishy balls!
4:22 well… this gives me a n idea for a video I can’t post on TH-cam…
nice seing some physics simulation again, always a highlight for me
No way, actual computer graphics? I was worried this would become one of these boring AI-only channels...
I would absolutely love to do more of these, but I noticed that fewer and fewer of you Fellow Scholars are interested, so it might not be sustainable unfortunately - I still haven't figured out what to do about it!
@@TwoMinutePapers Pity. I love these kind of papers very much! AI is very popular everywhere if you not make videos about these papers they will fade int obscurity eventually. Remember: you have shown numerous with there original viewcount in a double or even in a single digit, claiming, if you not look at them and tell here nobody will know. It's a conundrum, I know. Sharing interesting news vs current buzz (ie money). De én bízom Önben, Doktor Károly! ;)
Theres nothing boring about AI.
The smell of those spiky ball toys would have been unimaginably bad irl.
How to use this in blender or unreal engine or whatever ?? Like what the skills I need to learn to be able to transfer research papers to real applications ??
Yes this is probably very usefull, but I need to know where I can get 2 hours worth of these mesmerising simulations in 4k and some popcorn!
0:29 Imagine, an airport with one million people bumping into each other!🤣🤣
4:56 Now, imagine, that all of these people are packed into a tiny teapot!
What a time to bounced for alive !
I wonder how long it will take to get these technologies implemented into blender
1:49 This could be very useful 😂
Kinda glossed over it but the tear sim is super impressive
This is insane.
Damn this first one looks incredible. Soon they can simulate everything.
Thanks!
Loving it but you forgot to explain the magic sauce how they made it
How does this behave against explicit dynamic FE-simulations ? Is it „just“ creating nice pictures or is this actually generating realistic numbers ?
I grabbed my papers so hard with this one that they managed bounced back somehow
1:50 Now i see how this will be useful...
It's pretty amazing they can do this but TH-cam video compression algorithm gets pixelated when showing so many different things moving around on the screen.
any estimates for when this can be implemented into games without too much difficulty?
FINALLY, NOT AN AI PAPER
I was thinking we can make it a fully ai paper dedicated paper channel. It's not like that I don't like these types of videos.It just that people are less interested in other topics that people have no knowledge , I don't know it would be right or not but if there could be separate channels for only ai paper it will like the all fellow scholar very much.:)
OOOOhhh SO nice 👌to see some non-ai papers here again!! Thank you :)
Right!! Hope he does more on occasion. Especially in the graphics space or other practical applications
Damn it was crazy when he showed the semi logarithmic scale
The correct form is OCTOPUSES.
Do they sell tose algorythms to 3d software companies? Are they open source?
Any idea?
R34 3D artists are drooling right now.
I have no idea where do all these crazy technology go? Why dont they make to solvers inside programs mostly. All the solvers are still very outdated.
Are you thinking what I'm thinking?
it's only me or the wave effect feels unrealistic? does it would happen on a real life experiment?
Woo simulation content
Lol cool video, though for me imagining 50 million san franciscans crammed into a tea pot was not helpful in the slightest
i love this channel
Airpot 1 mill bodies bump into each other💀
i remember we ised to play with balls like this :D taking one string and spinnig the ball hahaha
no more crashing 3d sims yayyy
Last time i checked armadillo's aren't body builders, just saying
Damm finally something not ai
nice! where is the 88-line code version? ;D
Finally, we can do hydraulic press simulations 🥹
If you simulate dice going through a complex dice tower, will they always roll the same numbers?
If it's always different, is this a way of obtaining a true random number generator?
If not, what about a triple (or multiple) pendulum using a simulation like this?
And what would be the consequence of actually obtaining a true random number generator, for games and other applications?
lol im here 2 minutes after a 2 minute papers video releases
Cooooooool
Woah!
Finally something that isn't AI-related. Thank you Károly, it was getting boring...
Good
🤯
we need less ai and more simulations.
It is refreshing not to have another AI topic here.
🤚
#blender
Why ... does the narrator ... pause ... after almost ... every second word?
🤍
Wait are these run in real time?
nvm
Two Minute Papers: "They learned how to pack 1 million people into a tiny teapot"
Blackrock: "Write that down! Write that down!"
the hydraulic press channel would love to work with these squishies
Amazing the new speed, I think it's important whenever you talk about speed (seconds per frame, for example), to post the specifications of the hardware used to achieve those results mentioned in the paper, so I've checked and it is: AMD Ryzen 5950X CPU, 64GB DDR3 RAM, and an NVIDIA RTX 4090 GPU.