Consistent Scene Editing by Progressive Difference Images

dc.contributor.authorGünther, Tobiasen_US
dc.contributor.authorGrosch, Thorstenen_US
dc.contributor.editorJaakko Lehtinen and Derek Nowrouzezahraien_US
dc.description.abstractEven though much research was dedicated to the acceleration of consistent, progressive light transport simulations, the computation of fully converged images is still very time-consuming. This is problematic, as for the practical use in production pipelines, the rapid editing of lighting effects is important. While previous approaches restart the simulation with every scene manipulation, we make use of the coherence between frames before and after a modification in order to accelerate convergence of the context that remained similar. This is especially beneficial if a scene is edited that has already been converging for a long time, because much of the previous result can be reused, e.g., sharp caustics cast or received by the unedited scene parts. In its essence, our method performs the scene modification stochastically by predicting and accounting for the difference image. In addition, we employ two heuristics to handle cases in which stochastic removal is likely to lead to strong noise. Typical scene interactions can be broken down into object adding and removal, material substitution, camera movement and light editing, which we all examine in a number of test scenes both qualitatively and quantitatively. As we focus on caustics, we chose stochastic progressive photon mapping as the underlying light transport algorithm. Further, we show preliminary results of bidirectional path tracing and vertex connection and merging.en_US
dc.description.sectionheadersAppearance Changes and Imagesen_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectI.3.7 [Computer Graphics]en_US
dc.subjectThree Dimensional Graphics and Realismen_US
dc.subjectRay tracingen_US
dc.titleConsistent Scene Editing by Progressive Difference Imagesen_US