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We show how to insert an object from one image to another and get realisticresults in the hard case, where the shading of the inserted object clashes withthe shading of the scene. Rendering objects using an illumination model of thescene doesn't work, because doing so requires a geometric and material model ofthe object, which is hard to recover from a single image. In this paper, weintroduce a method that corrects shading inconsistencies of the inserted objectwithout requiring a geometric and physical model or an environment map. Ourmethod uses a deep image prior (DIP), trained to produce reshaded renderings ofinserted objects via consistent image decomposition inferential losses. Theresulting image from DIP aims to have (a) an albedo similar to thecut-and-paste albedo, (b) a similar shading field to that of the target scene,and (c) a shading that is consistent with the cut-and-paste surface normals.The result is a simple procedure that produces convincing shading of theinserted object. We show the efficacy of our method both qualitatively andquantitatively for several objects with complex surface properties and also ona dataset of spherical lampshades for quantitative evaluation. Our methodsignificantly outperforms an Image Harmonization (IH) baseline for all theseobjects. They also outperform the cut-and-paste and IH baselines in a userstudy with over 100 users.

Cut-and-Paste Object Insertion by Enabling Deep Image Prior for Reshading