NVIDIA’s DLSS 3.5: This Should Be Impossible!

❤️ Check out Weights & Biases and sign up for a free demo here: https://wandb.me/2mp 📝 My paper on neural rendering: https://ift.tt/pB7qTQv My latest 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://ift.tt/1qyrSa4 Digital trends on DLSS 3: https://ift.tt/pPGunmC 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Aleksandr Mashrabov, Alex Balfanz, Alex Haro, Andrew Melnychuk, Benji Rabhan, Bret Brizzee, Bryan Learn, B Shang, Christian Ahlin, Gaston Ingaramo, Geronimo Moralez, Gordon Child, Jace O'Brien, Jack Lukic, John Le, Kenneth Davis, Klaus Busse, Kyle Davis, Lukas Biewald, Martin, Matthew Valle, Michael Albrecht, Michael Tedder, Nikhil Velpanur, Owen Campbell-Moore, Owen Skarpness, Rajarshi Nigam, Ramsey Elbasheer, Richard Sundvall, Steef, Taras Bobrovytsky, Ted Johnson, Thomas Krcmar, Timothy Sum Hon Mun, Torsten Reil, Tybie Fitzhugh, Ueli Gallizzi. If you wish to appear here or pick up other perks, click here: https://ift.tt/7zpt8br Chapters: 0:00 What is DLSS? 0:58 Neural rendering 1:50 DLSS enters the scene 2:39 Step 1: Super resolution 2:56 Step 2: Optical flow 3:41 Ray Reconstruction 5:02 Results 6:09 Who gets this? 6:59 Not perfect 7:36 First Law of Papers Thumbnail background design: Felícia Zsolnai-Fehér - http://felicia.hu Károly Zsolnai-Fehér's links: Twitter: https://twitter.com/twominutepapers Web: https://ift.tt/FhzCvbU #nvidia