?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=CreativeAI%3A+Deep+learning+for+graphics+SIGGRAPH+2019&rft.creator=Mitra%2C+NJ&rft.creator=Kokkinos%2C+I&rft.creator=Guerrero%2C+P&rft.creator=Thuerey%2C+N&rft.creator=Kim%2C+V&rft.creator=Guibas%2C+L&rft.description=In+computer+graphics%2C+many+traditional+problems+are+now+better+handled+by+deep-learning+based+data-driven+methods.+In+applications+that+operate+on+regular+2D+domains%2C+like+image+processing+and+computational+photography%2C+deep+networks+are+state-of-the-art%2C+often+beating+dedicated+hand-crafted+methods+by+significant+margins.+More+recently%2C+other+domains+such+as+geometry+processing%2C+animation%2C+video+processing%2C+and+physical+simulations+have+benefited+from+deep+learning+methods+as+well%2C+often+requiring+application-specific+learning+architectures.+The+massive+volume+of+research+that+has+emerged+in+just+a+few+years+is+often+difficult+to+grasp+for+researchers+new+to+this+area.+This+course+gives+an+organized+overview+of+core+theory%2C+practice%2C+and+graphics-related+applications+of+deep+learning.&rft.publisher=ACM&rft.date=2019-07-28&rft.type=Proceedings+paper&rft.language=eng&rft.source=+++++In%3A++Proceeding+SIGGRAPH+'19+ACM.++++ACM%3A+Los+Angeles%2C+California.+(2019)+++++&rft.format=text&rft.identifier=https%3A%2F%2Fdiscovery.ucl.ac.uk%2Fid%2Feprint%2F10081678%2F1%2Fpart1_introduction_niloy.pdf&rft.identifier=https%3A%2F%2Fdiscovery.ucl.ac.uk%2Fid%2Feprint%2F10081678%2F&rft.rights=open