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ID:39715943
大小:4.94 MB
页数:21页
时间:2019-07-09
《Pixel Recursive Super Resolution》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、PixelRecursiveSuperResolutionRyanDahlMohammadNorouziJonathonShlensGoogleBrainfrld,mnorouzi,shlensg@google.comAbstract88input3232samplesgroundtruthWepresentapixelrecursivesuperresolutionmodelthatsynthesizesrealisticdetailsintoimageswhileenhancingth
2、eirresolution.Alowresolutionimagemaycorrespondtomultipleplausiblehighresolutionimages,thusmodelingthesuperresolutionprocesswithapixelindependentcon-ditionalmodeloftenresultsinaveragingdifferentdetails–henceblurryedges.Bycontrast,ourmodelisabletorepre
3、-sentamultimodalconditionaldistributionbyproperlymod-elingthestatisticaldependenciesamongthehighresolutionimagepixels,conditionedonalowresolutioninput.WeemployaPixelCNNarchitecturetodefineastrongpriorovernaturalimagesandjointlyoptimizethispriorwithade
4、epconditioningconvolutionalnetwork.Humanevalua-tionsindicatethatsamplesfromourproposedmodellookmorephotorealisticthanastrongL2regressionbaseline.1.IntroductionTheproblemofsuperresolutionentailsartificiallyen-largingalowresolutionphotographtorecoverapl
5、ausi-Figure1:Illustrationofourprobabilisticpixelrecursiveblehighresolutionversionofit.Whenthezoomfactorsuperresolutionmodeltrainedend-to-endonadatasetofarXiv:1702.00783v1[cs.CV]2Feb2017islarge,theinputimagedoesnotcontainalloftheinfor-celebrityfaces.T
6、heleftcolumnshows88lowresolutionmationnecessarytoaccuratelyconstructahighresolutioninputsfromthetestset.Themiddleandlastcolumnsshowimage.Thus,theproblemisunderspecifiedandmanyplau-3232imagesaspredictedbyourmodelvs.thegroundsiblehighresolutionimagese
7、xistthatmatchthelowresolu-truth.Ourmodelincorporatesstrongfacepriorstosynthe-tioninputimage.Thisproblemissignificantforimprovingsizerealistichairandskindetails.thestate-of-the-artinsuperresolution,andmoregenerallyforbuildingbetterconditionalgenerative
8、modelsofimages.Asuperresolutionmodelmustaccountforthecomplexnewimagedetailsthatappearplausibletoahumanob-variationsofobjects,viewpoints,illumination,andocclu-server.Generatingrealistichighresolutionimagesisnotsions,especiallyasthezoomfactorincreases.
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