References
1FoesselS.ZillyF.SchöberlM.SchäferP.ZieglerM.KeinertJ.Light-field acquisition and processing system for film productionsSMPTE 2013 Annual Technical Conf. Exhibition2013SMPTEWhite Plains, NY181–8
2GarcesE.EchevarriaJ. I.ZhangW.WuH.ZhouK.GutierrezD.2017Intrinsic light field imagesComput. Graph. Forum3610.1111/cgf.13154
3AlperovichA.GoldlueckeB.LaiS.-H.LepetitV.NishinoK.SatoY.A variational model for intrinsic light field decompositionComputer Vision – ACCV 20162017Springer International PublishingCham668266–82
4BergmannS.RitschelT.DachsbacherC.Interactive appearance editing in rgb-d imagesProceedings Vision, Modeling & Visualization2006ACMNew York, NY
5KhanE. A.ReinhardE.FlemingR. W.BülthoffH. H.2006Image-based material editingACM Trans. Graph.25654663654–6310.1145/1141911.1141937
6DuchêneS.RiantC.ChaurasiaG.Lopez-MorenoJ.LaffontP.-Y.PopovS.BousseauA.DrettakisG.2015Multi-view intrinsic images of outdoors scenes with an application to relightingACM Trans. Graph.34164:1164:16164:1–164:1610.1145/2756549
7FlemingR. W.BülthoffH. H.2005Low-level image cues in the perception of translucent materialsACM Trans. Appl. Perception2346382346–8210.1145/1077399.1077409
8FlemingR.2012Human perception: Visual heuristics in the perception of glossinessCurr. Biol.22865866865–610.1016/j.cub.2012.08.030
9MotoyoshiI.NishidaS.SharanL.AdelsonE. H.2007Image statistics and the perception of surface qualitiesNature447206209206–910.1038/nature05724
10SharanL.LiY.MotoyoshiI.NishidaS.AdelsonE. H.2008Image statistics for surface reflectance perceptionJ. Opt. Soc. Am. A25846865846–6510.1364/JOSAA.25.000846
11GieselM.ZaidiQ.2013Frequency-based heuristics for material perceptionJ. Vis.13710.1167/13.14.7
12BoyadzhievI.BalaK.ParisS.AdelsonE.2015Band-sifting decomposition for image-based material editingACM Trans. Graph.3410.1145/2809796
13BarrowH.TenenbaumJ.HansonA.RisemanE.Recovering intrinsic scene characteristics from imagesComputer Vision Systems1978Academic PressNew York3263–26
14BonneelN.KovacsB.ParisS.BalaK.2017Intrinsic decompositions for image editingComput. Graphics Forum36593609593–60910.1111/cgf.13149
15ChenQ.KoltunV.A simple model for intrinsic image decomposition with depth cuesProc. IEEE Int’l. Conf. on Computer Vision (ICCV)2013IEEEPiscataway, NJ241248241–8
16XieD.LiuS.LinK.ZhuS.ZengB.Intrinsic decomposition for stereoscopic imagesIEEE Int’l Conf. on Image Processing (ICIP)2016IEEEPiscataway, NJ174417481744–8
17MekaA.ZollhöferM.RichardtC.TheobaltC.2016Live intrinsic videoACM Trans. Graph.35109:1109:14109:1–109:1410.1145/2897824.2925907
18LaffontP.-Y.BousseauA.DrettakisG.2013Rich intrinsic image decomposition of outdoor scenes from multiple viewsIEEE Trans. Vis. Comput. Graphics19210224210–2410.1109/TVCG.2012.112
19ArtusiA.BanterleF.ChetverikovD.2011A survey of specularity removal methodsComput. Graphics Forum30220822302208–3010.1111/j.1467-8659.2011.01971.x
20BellS.BalaK.SnavelyN.2014Intrinsic images in the wildACM Trans. Graph.33159:1159:12159:1–159:1210.1145/2601097.2601206
21TaoM. W.SuJ.-C.WangT.-C.MalikJ.RamamoorthiR.2016Depth estimation and specular removal for glossy surfaces using point and line consistency with light-field camerasIEEE Trans. Pattern Anal. Mach. Intell.38115511691155–6910.1109/TPAMI.2015.2477811
22SulcA.AlperovichA.MarniokN.GoldlueckeB.Reflection separation in light fields based on sparse coding and specular flowProc. Conf. on Vision, Modeling & Visualization2016Eurographics AssociationGoslar Germany137144137–44
23GryaditskayaY.MasiaB.DidykP.MyszkowskiK.SeidelH.-P.Gloss editing in light fieldsProc. Conf. on Vision, Modeling & Visualization (VMV)2016Eurographics AssociationGoslar Germany127135127–35
24ChadwickA.KentridgeR.2015The perception of gloss: a reviewVis. Res.109221235221–3510.1016/j.visres.2014.10.026
25FarbmanZ.FattalR.LischinskiD.SzeliskiR.2008Edge-preserving decompositions for multi-scale tone and detail manipulationACM Trans. Graph.2767:167:1067:1–67:1010.1145/1360612.1360666
26FattalR.AgrawalaM.RusinkiewiczS.
27ParisS.HasinoffS. W.KautzJ.2011Local laplacian filters: Edge-aware image processing with a laplacian pyramidACM Trans. Graph.3068:168:1268:1–68:1210.1145/2010324.1964963
28GastalE.OliveiraM.2011Domain transform for edge-aware image and video processingACM Trans. Graph.3069:169:1269:1–69:1210.1145/2010324.1964964
29BaeS.ParisS.DurandF.2006Two-scale tone management for photographic lookACM Trans. Graph.25637645637–4510.1145/1141911.1141935
30ChenQ.XuJ.KoltunV.Fast image processing with fully-convolutional networksIEEE International Conf. on Computer Vision, (ICCV)2017IEEE Computer SocietyVenice, Italy251625252516–25
31WuG.MasiaB.JaraboA.ZhangY.WangL.DaiQ.ChaiT.LiuY.2017Light field image processing: An overviewIEEE J. Sel. Top. Signal Process.11926954926–5410.1109/JSTSP.2017.2747126
32BirklbauerC.BimberO.2012Light-field retargetingComput. Graphics Forum31295303295–30310.1111/j.1467-8659.2012.03008.x
33ChenB.OfekE.ShumH.-Y.LevoyM.Interactive deformation of light fieldsProc. 2005 Symposium on Interactive 3D Graphics and GamesI3D ’052005ACMNew York, NY139146139–46
34FrigoO.GuillemotC.Epipolar plane diffusion: An efficient approach for light field editingProc. of British Machine Vision Conf. (BMVC)2017British Machine Vision AssociationDurham, UK
35HornD. R.ChenB.Lightshop: Interactive light field manipulation and renderingProc. 2007 ACM Symposium on Interactive 3D Graphics and GamesI3D ’072007ACMNew York, NY121128121–8
36ZhangZ.WangL.GuoB.ShumH.-Y.2002Feature-based light field morphingACM Trans. Graph.21457464457–6410.1145/566654.566602
37SeitzS.KutulakosK.2002Plenoptic image editingInt. J. Comput. Vis.48115129115–2910.1023/A:1016046923611
38JaraboA.MasiaB.BousseauA.PellaciniF.GutierrezD.
39WilliemW.ShonK. W.ParkI. K.2016Spatio-angular consistent editing framework for 4d light field imagesMultimedia Tools Appl.75166151663116615–3110.1007/s11042-016-3754-y
40JaraboA.MasiaB.GutierrezD.Efficient propagation of light field editsProc. of the V Ibero-American Symposium in Computer GraphicsSIACG 20112011Faro, Portugal758075–80
41SunH.LiP.ShengB.Image-based material restyling with fast non-local means filteringInternational Conference on Image and Graphics2009841846841–6
42VergneR.BarlaP.FlemingR. W.GranierX.2012Surface flows for image-based shading designACM Trans. Graph.3194:194:994:1–910.1145/2185520.2185590
43XueyS.WangJ.TongX.DaiQ.GuoB.2008Image-based material weatheringComput. Graph. Forum27617626617–2610.1111/j.1467-8659.2008.01159.x
44YeungS.-K.TangC.-K.BrownM. S.KangS. B.2011Matting and compositing of transparent and refractive objectsACM Trans. Graph.302:12:132:1–2:1310.1145/1899404.1899406
45Di RenzoF.CalabreseC.PellaciniF.2014Appim: Linear spaces for image-based appearance editingACM Trans. Graph.33194:1194:9194:1–910.1145/2661229.2661282
46DrorR. O.AdelsonE. H.WillskyA. S.Recognition of surface reflectance properties from a single image under unknown real-world illuminationProc. IEEE Workshop on Identifying Objects Across Variations in Lighting2001IEEEPiscataway, NJ181–8
47OstrovskyY.CavanaghP.SinhaP.2005Perceiving illumination inconsistencies in scenesPerception3410.1068/p5418
48YeG.GarcesE.LiuY.DaiQ.GutierrezD.
49GrosseR.JohnsonM.AdelsonE.FreemanW.Ground truth dataset and baseline evaluations for intrinsic image algorithmsIEEE ICCV2009IEEEPiscataway, NJ233523422335–42
50Van De WeijerJ.GeversT.GijsenijA.Edge-based color constancyIEEE Transactions on Image Processing2007Vol. 16IEEEPiscataway, NJ220722142207–14
51MaurerD.JuY.-C.BreußM.BruhnA.WilsonR. C.HancockE. R.SmithW. A. P.Combining shape from shading and stereo: a variational approach for the joint estimation of depth, illumination and albedoProc. British Machine Vision Conference (BMVC)2016BMVA PressDurham, UK76.176.1476.1–76.14
52ZhaoQ.TanP.DaiQ.ShenL.WuE.LinS.A closed-form solution to retinex with nonlocal texture constraintsIEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI)2012Vol. 34IEEEPiscataway, NJ143714441437–44
53Van De WeijerJ.GeversT.SmeuldersA. W.Robust photometric invariant features from the color tensorIEEE Trans. on Image Proc.2006Vol. 15IEEEPiscataway, NJ118127118–27
54SunD.RothS.LewisJ. P.BlackM. J.Learning Optical Flow2008SpringerBerlin, Heidelberg
55BlackM. J.AnandanP.1996The robust estimation of multiple motionsComput. Vis. Image Underst.637510475–10410.1006/cviu.1996.0006
56KimS.-J.KohK.LustigM.BoydS.GorinevskyD.2007An interior-point method for large-scale l1 regularized least squaresIEEE J. Sel. Top. Signal Process1606617606–1710.1109/JSTSP.2007.910971
57GehlerP. V.RotherC.KiefelM.ZhangL.SchölkopfB.Recovering intrinsic images with a global sparsity prior on reflectanceProc. 24th Int’l. Conf. on Neural Information Processing SystemsNIPS’112011Curran Associates Inc.USA765773765–73
58BonneelN.TompkinJ.SunkavalliK.SunD.ParisS.PfisterH.2015Blind video temporal consistencyACM Trans. Graph.34196:1196:9196:1–910.1145/2816795.2818107
59BonneelN.TompkinJ.SunD.WangO.SunkavalliK.ParisS.PfisterH.2017Consistent video filtering for camera arraysComput. Graphics Forum36397407397–40710.1111/cgf.13135
60KimC.ZimmerH.PritchY.Sorkine-HornungA.GrossM.
61BeigpourS.KolbA.KunzS.A comprehensive multi-illuminant dataset for benchmarking of intrinsic image algorithmsProceedings IEEE Int’l. Conf. on Computer Vision (ICCV)2015IEEEPiscataway, NJ172180172–80
62GutierrezD.SeronF. J.Lopez-MorenoJ.SanchezM. P.FandosJ.ReinhardE.2008Depicting procedural caustics in single imagesACM Trans. Graph.27120:1120:9120:1–910.1145/1409060.1409073
63VaishV.LevoyM.SzeliskiR.ZitnickC. L.KangS. B.Reconstructing occluded surfaces using synthetic apertures: Stereo, focus and robust measuresIEEE Conf. on Computer Vision and Pattern Recognition (CVPR)CVPR ’062006233123382331–8
64XueT.RubinsteinM.LiuC.FreemanW. T.2015A computational approach for obstruction-free photographyACM Trans. Graph.3479:179:1179:1–79:1110.1145/2766940
65LiangC.-K.ChungC.2006
66ShimanoM.OkawaH.AsanoY.BiseR.NishinoK.SatoI.Wetness and color from a single multispectral imageIEEE Conf. on Computer Vision and Pattern Recognition (CVPR)2017IEEEPiscataway, NJ321329321–9
67AdhikarlaV. K.VinklerM.SuminD.MantiukR. K.MyszkowskiK.SeidelH.DidykP.Towards a quality metric for dense light fields2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)2017IEEEPiscatway, NJ372037293720–9
68StrechaC.Von HansenW.Van GoolL.FuaP.ThoennessenU.On benchmarking camera calibration and multi-view stereo for high resolution imageryIEEE Conf. on Computer Vision and Pattern Recognition (CVPR)2008IEEEPiscataway, NJ181–8
69BeigpourS.HaM. L.KunzS.KolbA.BlanzV.Multi-view multi-illuminant intrinsic datasetProc. British Machine Vision Conference (BMVC)2016British Machine Vision AssociationDurham, UK10.110.1310.1–10.13
70WannerS.MeisterS.GoldlückeB.Datasets and benchmarks for densely sampled 4d light fieldsProc. Vision, Modeling & Visualization2013Eurographics Association225226225–6
71OxholmG.NishinoK.Shape and reflectance estimation in the wildIEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI)2016Vol. 38IEEEPiscataway, NJ376389376–89
72LombardiS.NishinoK.Reflectance and illumination recovery in the wildIEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI)2016Vol. 38IEEEPiscataway, NJ129141129–41
73WangT.-C.ChandrakerM.EfrosA. A.RamamoorthiR.Svbrdf-invariant shape and reflectance estimation from light-field camerasIEEE Conf. on Computer Vision and Pattern Recognition (CVPR)2016IEEEPiscatway, NJ545154595451–9
74TaltonJ. O.GibsonD.YangL.HanrahanP.KoltunV.2009Exploratory modeling with collaborative design spacesACM Trans. Graph.28167:1167:10167:1–167:1010.1145/1618452.1618513
75KoyamaY.SakamotoD.IgarashiT.Crowd-powered parameter analysis for visual design explorationProc. 27th Annual ACM Symposium on User Interface Software and TechnologyUIST ’142014ACMNew York657465–74
76MarksJ.AndalmanB.BeardsleyP. A.FreemanW.GibsonS.HodginsJ.KangT.MirtichB.PfisterH.RumlW.RyallK.SeimsJ.ShieberS.Design galleries: A general approach to setting parameters for computer graphics and animationProc. 24th Annual Conf. on Computer Graphics and Interactive TechniquesSIGGRAPH ’97ACMNew York, NY389400389–400