Two Minute Papers | NVIDIA’s New Gaming AI Does The Impossible! @TwoMinutePapers | Uploaded 8 months ago | Updated 5 hours ago
❤️ Check out Weights & Biases and sign up for a free demo here: wandb.me/papers

📝 The paper "Learning Physically Simulated Tennis Skills from Broadcast Videos " is available here:
research.nvidia.com/labs/toronto-ai/vid2player3d

Code: github.com/nv-tlabs/vid2player3d

📝 My latest 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:
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, Bret Brizzee, Gaston Ingaramo, Gordon Child, Jace O'Brien, John Le, Kyle Davis, Lukas Biewald, Martin, Michael Albrecht, Michael Tedder, Owen Skarpness, Richard Putra Iskandar, Richard Sundvall, Taras Bobrovytsky, Ted Johnson, Thomas Krcmar, Tybie Fitzhugh, Ueli Gallizzi.
If you wish to appear here or pick up other perks, click here: patreon.com/TwoMinutePapers

Thumbnail background design: Felícia Zsolnai-Fehér - http://felicia.hu
Károly Zsolnai-Fehér's research works: https://cg.tuwien.ac.at/~zsolnai/
Twitter: twitter.com/twominutepapers

#nvidia