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Two Minute Papers: New AI: Photos Go In, Reality Comes Out! 🌁

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Check out Lambda here and sign up for their GPU Cloud: https://lambdalabs.com/papers The paper "ADOP: Approximate Differentiable One-Pixel Point Rendering" is available here: https://arxiv.org/abs/2110.06635


Two Minute Papers: Why Should We Trust An AI?

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We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Andrew Melnychuk, Brian Gilman, Christian Ahlin, Christoph Jadanowski, Dennis Abts, Emmanuel, Eric Haddad, Esa Turkulainen, Evan Breznyik, Frank Goertzen, Malek Cellier, Marten Rauschenberg, Michael Albrecht, Michael Jensen, Nader Shakerin, Raul Araújo da Silva, Robin Graham, Shawn Azman, Steef, Steve Messina, Sunil Kim, Torsten Reil. One-time payment links are available below.


Two Minute Papers: Neural Material Synthesis

#artificialintelligence

We are going to talk about techniques that create physically based material models from photographs that we can use in our light simulation programs. In an earlier work, two photographs are required for high-quality reconstruction. It seems that working from only one photograph doesn't seem possible at all. NVIDIA has implemented the two-shot model! Super smart guys at NVIDIA (@marcofoco) just implemented the two-shot version of this.


Two Minute Papers: DeepMind's AI Learns Object Sounds

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The paper "Objects that Sound" is available here: https://arxiv.org/abs/1712.06651 One-time payment links are available below.


Two Minute Papers: Hallucinating Images With Deep Learning

#artificialintelligence

During our journeys in deep learning, we have seen techniques that can summarize photographs in entire sentences that actually make sense. This time, we are going to turn this process around and ask a deep learning system to "hallucinate", i.e., generate images according to sentences that we add as an input. The results are nothing short of insane! The paper "Generative Adversarial Text to Image Synthesis" is available here: http://arxiv.org/abs/1605.05396 Recommended for you: Recurrent Neural Network Writes Sentences About Images – https://www.youtube.com/watch?v e-WB4lfg30M Deep Learning related Two Minute Papers episodes – WE WOULD LIKE TO THANK OUR GENEROUS PATREON SUPPORTERS WHO MAKE TWO MINUTE PAPERS POSSIBLE: David Jaenisch, Sunil Kim, Julian Josephs.


Two Minute Papers: Game AI Development With OpenAI Universe

#artificialintelligence

Also, make sure to check out Google DeepMind's lab: https://github.com/deepmind/lab For the record: no, I am not an Edge user. WE WOULD LIKE TO THANK OUR GENEROUS PATREON SUPPORTERS WHO MAKE TWO MINUTE PAPERS POSSIBLE: Sunil Kim, Daniel John Benton, Dave Rushton-Smith. Subscribe if you would like to see more of these! Music: Dat Groove by Audionautix is licensed under a Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/)



Two Minute Papers: Neural Image Stitching And Morphing

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The paper "Neural Best-Buddies: Sparse Cross-Domain Correspondence" is available here: https://arxiv.org/abs/1805.04140 Pick up cool perks on our Patreon page: http



Two Minute Papers: This AI Learns From Its Dreams

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The paper "World Models" is available here: https://arxiv.org/abs/1803.10122 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Andrew Melnychuk, Brian Gilman, Christian Ahlin, Christoph Jadanowski, Dennis Abts, Emmanuel, Eric Haddad, Esa Turkulainen, Geronimo Moralez, Lorin Atzberger, Malek Cellier, Marten Rauschenberg, Michael Albrecht, Michael Jensen, Nader Shakerin, Raul Araújo da Silva, Rob Rowe, Robin Graham, Ryan Monsurate, Shawn Azman, Steef, Steve Messina, Sunil Kim, Torsten Reil.