NVIDIA’s New AI Did The Impossible!

Video Description

❤️ Check out Lambda here and sign up for their GPU Cloud: https://lambdalabs.com/paper 📝 The papers are available here: Consistory: Training-Free Consistent Text-to-Image Generation https://research.nvidia.com/labs/par/consistory/ SuperPADL: Scaling Language-Directed Physics-Based Control with Progressive Supervised Distillation https://research.nvidia.com/publication/2024-07_superpadl-scaling-language-directed-physics-based-control-progressive Simplicits: Mesh-Free, Geometry-Agnostic, Elastic Simulation https://research.nvidia.com/labs/toronto-ai/simplicits/ Walkin' Robin: Walk on Stars with Robin Boundary Conditions https://research.nvidia.com/labs/prl/publication/miller2024wost/ (more media here: https://blogs.nvidia.com/blog/siggraph-2024-ai-graphics-research/ ) A Free-Space Diffraction BSDF https://research.nvidia.com/labs/rtr/publication/steinberg2024diffraction/ Surface-Filling Curve Flows via Implicit Medial Axes https://www.dgp.toronto.edu/projects/surface-filling-curves/ 📝 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, Kyle Davis, Loyal Alchemist, Lukas Biewald, Martin, Michael Albrecht, Michael Tedder, Owen Skarpness, 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: 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 #NVIDIA