{"id":4075,"date":"2016-11-29T12:16:37","date_gmt":"2016-11-29T11:16:37","guid":{"rendered":"https:\/\/users.cg.tuwien.ac.at\/zsolnai\/?p=4075"},"modified":"2019-10-12T01:49:45","modified_gmt":"2019-10-11T23:49:45","slug":"accelerating-eulerian-fluid-simulation-convolutional-networks","status":"publish","type":"post","link":"https:\/\/users.cg.tuwien.ac.at\/zsolnai\/accelerating-eulerian-fluid-simulation-convolutional-networks\/","title":{"rendered":"Accelerating Eulerian Fluid Simulation With Convolutional Networks"},"content":{"rendered":"<p style=\"text-align: justify;\"><strong><a href=\"http:\/\/www.cims.nyu.edu\/~tompson\/\">Jonathan Tompson<\/a><\/strong> from Google and his colleagues,\u00a0Kristofer Schlachter, Pablo Sprechmann and <strong><a href=\"https:\/\/cs.nyu.edu\/~perlin\/\">Ken Perlin<\/a><\/strong> from the New York University have come up with a really nice technique to teach a convolutional neural network how fluid and smoke simulations work. The project webpage is available <strong><a href=\"http:\/\/cims.nyu.edu\/~schlacht\/CNNFluids.htm\">here<\/a><\/strong>, or you can click on the image below to access the paper.<\/p>\n<p style=\"text-align: justify;\"><em><strong>Status: accepted to ICML 2017<br \/>\n<\/strong><\/em><\/p>\n<p><em>(please note that I am in the acknowledgements section and was not a co-author of the paper)<\/em><\/p>\n<p style=\"text-align: center;\"><iframe loading=\"lazy\" src=\"https:\/\/www.youtube.com\/embed\/iOWamCtnwTc\" width=\"640\" height=\"360\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\n<p><a href=\"https:\/\/arxiv.org\/pdf\/1607.03597v5.pdf\" target=\"_blank\" rel=\"noopener noreferrer\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-4076 size-full\" src=\"https:\/\/users.cg.tuwien.ac.at\/zsolnai\/wp\/wp-content\/uploads\/2016\/11\/cnnfluid-cover.png\" alt=\"cnnfluid-cover\" width=\"3833\" height=\"4958\" srcset=\"https:\/\/users.cg.tuwien.ac.at\/zsolnai\/wp\/wp-content\/uploads\/2016\/11\/cnnfluid-cover.png 3833w, https:\/\/users.cg.tuwien.ac.at\/zsolnai\/wp\/wp-content\/uploads\/2016\/11\/cnnfluid-cover-232x300.png 232w, https:\/\/users.cg.tuwien.ac.at\/zsolnai\/wp\/wp-content\/uploads\/2016\/11\/cnnfluid-cover-768x993.png 768w, https:\/\/users.cg.tuwien.ac.at\/zsolnai\/wp\/wp-content\/uploads\/2016\/11\/cnnfluid-cover-796x1030.png 796w, https:\/\/users.cg.tuwien.ac.at\/zsolnai\/wp\/wp-content\/uploads\/2016\/11\/cnnfluid-cover-1160x1500.png 1160w, https:\/\/users.cg.tuwien.ac.at\/zsolnai\/wp\/wp-content\/uploads\/2016\/11\/cnnfluid-cover-545x705.png 545w, https:\/\/users.cg.tuwien.ac.at\/zsolnai\/wp\/wp-content\/uploads\/2016\/11\/cnnfluid-cover-450x582.png 450w\" sizes=\"auto, (max-width: 3833px) 100vw, 3833px\" \/><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Jonathan Tompson from Google and his colleagues,\u00a0Kristofer Schlachter, Pablo Sprechmann and Ken Perlin from the New York University have come up with a really nice technique to teach a convolutional neural network how fluid and smoke simulations work. The project webpage is available here, or you can click on the image below to access the [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":true,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[20],"tags":[245,241,242,229,240,141,192,184,243,244],"class_list":["post-4075","post","type-post","status-publish","format-standard","hentry","category-news","tag-cnn","tag-cnnfluid","tag-cnnfluids","tag-collaboration","tag-convolutional-neural-network","tag-deep-learning","tag-deep-neural-network","tag-fluid-simulation","tag-google-brain","tag-ken-perlin"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_shortlink":"https:\/\/wp.me\/p8ZWyD-13J","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/users.cg.tuwien.ac.at\/zsolnai\/wp-json\/wp\/v2\/posts\/4075","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/users.cg.tuwien.ac.at\/zsolnai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/users.cg.tuwien.ac.at\/zsolnai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/users.cg.tuwien.ac.at\/zsolnai\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/users.cg.tuwien.ac.at\/zsolnai\/wp-json\/wp\/v2\/comments?post=4075"}],"version-history":[{"count":11,"href":"https:\/\/users.cg.tuwien.ac.at\/zsolnai\/wp-json\/wp\/v2\/posts\/4075\/revisions"}],"predecessor-version":[{"id":4772,"href":"https:\/\/users.cg.tuwien.ac.at\/zsolnai\/wp-json\/wp\/v2\/posts\/4075\/revisions\/4772"}],"wp:attachment":[{"href":"https:\/\/users.cg.tuwien.ac.at\/zsolnai\/wp-json\/wp\/v2\/media?parent=4075"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/users.cg.tuwien.ac.at\/zsolnai\/wp-json\/wp\/v2\/categories?post=4075"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/users.cg.tuwien.ac.at\/zsolnai\/wp-json\/wp\/v2\/tags?post=4075"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}