
NVIDIA’s AI Is Hopeless…And Learns To Walk!
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Guide on how I use Lambda to make images: https://docs.lambdalabs.com/on-demand-cloud/how-to-serve-the-flux.1-prompt-to-image-models-using-lambda-cloud-on-demand-instances
? The paper "Interactive Character Control with Auto-Regressive Motion Diffusion Models" is available here:
https://xbpeng.github.io/projects/AMDM/index.html
https://yi-shi94.github.io/amdm_page/
? My paper on simulations that look almost like reality is available for free here:
https://rdcu.be/cWPfD
Or this is the orig. Nature Physics link with clickable citations:
https://www.nature.com/articles/s41567-022-01788-5
? We would like to thank our generous Patreon supporters who make Two Minute Papers possible:
Alex Balfanz, Alex Haro, B Shang, Benji Rabhan, Gaston Ingaramo, Gordon Child, John Le, Juan Benet, Kyle Davis, Loyal Alchemist, Lukas Biewald, Martin, Michael Albrecht, Michael Tedder, Owen Skarpness, Richard Sundvall, Taras Bobrovytsky,, Thomas Krcmar, Tybie Fitzhugh, Ueli Gallizzi.
If you wish to appear here or pick up other perks, click here: https://www.patreon.com/TwoMinutePapers
My research: https://cg.tuwien.ac.at/~zsolnai/
X/Twitter: https://twitter.com/twominutepapers
Thumbnail design: Felícia Zsolnai-Fehér - http://felicia.hu
00:00 Intro
00:15 Hopeless
00:27 Even more hopeless
00:49 Why?
01:05 The solution
01:45 Motion generation
03:12 Control
04:13 Long-term planning
04:43 How did it learn?
Guide on how I use Lambda to make images: https://docs.lambdalabs.com/on-demand-cloud/how-to-serve-the-flux.1-prompt-to-image-models-using-lambda-cloud-on-demand-instances
? The paper "Interactive Character Control with Auto-Regressive Motion Diffusion Models" is available here:
https://xbpeng.github.io/projects/AMDM/index.html
https://yi-shi94.github.io/amdm_page/
? My paper on simulations that look almost like reality is available for free here:
https://rdcu.be/cWPfD
Or this is the orig. Nature Physics link with clickable citations:
https://www.nature.com/articles/s41567-022-01788-5
? We would like to thank our generous Patreon supporters who make Two Minute Papers possible:
Alex Balfanz, Alex Haro, B Shang, Benji Rabhan, Gaston Ingaramo, Gordon Child, John Le, Juan Benet, Kyle Davis, Loyal Alchemist, Lukas Biewald, Martin, Michael Albrecht, Michael Tedder, Owen Skarpness, Richard Sundvall, Taras Bobrovytsky,, Thomas Krcmar, Tybie Fitzhugh, Ueli Gallizzi.
If you wish to appear here or pick up other perks, click here: https://www.patreon.com/TwoMinutePapers
My research: https://cg.tuwien.ac.at/~zsolnai/
X/Twitter: https://twitter.com/twominutepapers
Thumbnail design: Felícia Zsolnai-Fehér - http://felicia.hu
00:00 Intro
00:15 Hopeless
00:27 Even more hopeless
00:49 Why?
01:05 The solution
01:45 Motion generation
03:12 Control
04:13 Long-term planning
04:43 How did it learn?
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