Channel: Two Minute Papers

Category: Science & Technology

Tags: ainvidia omniversenvidia rtxgaugantechnologyrtx onmachine learningnvidia canvasnvidia 3090nvidia 3080two minute papersnvidia gaugansciencenvidiagaugan 2nvidia gpu

Description: ❤️ Check out Cohere and sign up for free today: cohere.ai/papers Online demo - gaugan.org/gaugan2 NVIDIA Canvas - nvidia.com/en-us/studio/canvas 📝 The previous paper "Semantic Image Synthesis with Spatially-Adaptive Normalization" is available here: nvlabs.github.io/SPADE 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Aleksandr Mashrabov, Alex Balfanz, Alex Haro, Andrew Melnychuk, Angelos Evripiotis, Benji Rabhan, Bryan Learn, Christian Ahlin, Eric Martel, Gordon Child, Ivo Galic, Jace O'Brien, Javier Bustamante, John Le, Jonas, Kenneth Davis, Klaus Busse, Lorin Atzberger, Lukas Biewald, Matthew Allen Fisher, Mark Oates, Michael Albrecht, Michael Tedder, Nikhil Velpanur, Owen Campbell-Moore, Owen Skarpness, Peter Edwards, Rajarshi Nigam, Ramsey Elbasheer, Steef, Taras Bobrovytsky, 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: patreon.com/TwoMinutePapers Thumbnail background design: Felícia Zsolnai-Fehér - felicia.hu Wish to watch these videos in early access? Join us here: youtube.com/channel/UCbfYPyITQ-7l4upoX8nvctg/join Meet and discuss your ideas with other Fellow Scholars on the Two Minute Papers Discord: discordapp.com/invite/hbcTJu2 Károly Zsolnai-Fehér's links: Instagram: instagram.com/twominutepapers Twitter: twitter.com/twominutepapers Web: cg.tuwien.ac.at/~zsolnai #nvidia #gaugan #gaugan2