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dc.contributor.authorZsolnai-Fehér, Károlyen_US
dc.contributor.authorWonka, Peteren_US
dc.contributor.authorWimmer, Michaelen_US
dc.contributor.editorDachsbacher, Carsten and Pharr, Matten_US
dc.date.accessioned2020-06-28T15:24:21Z
dc.date.available2020-06-28T15:24:21Z
dc.date.issued2020
dc.identifier.issn1467-8659
dc.identifier.urihttps://doi.org/10.1111/cgf.14057
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf14057
dc.description.abstractCreating photorealistic materials for light transport algorithms requires carefully fine-tuning a set of material properties to achieve a desired artistic effect. This is typically a lengthy process that involves a trained artist with specialized knowledge. In this work, we present a technique that aims to empower novice and intermediate-level users to synthesize high-quality photorealistic materials by only requiring basic image processing knowledge. In the proposed workflow, the user starts with an input image and applies a few intuitive transforms (e.g., colorization, image inpainting) within a 2D image editor of their choice, and in the next step, our technique produces a photorealistic result that approximates this target image. Our method combines the advantages of a neural network-augmented optimizer and an encoder neural network to produce high-quality output results within 30 seconds. We also demonstrate that it is resilient against poorly-edited target images and propose a simple extension to predict image sequences with a strict time budget of 1-2 seconds per image.en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectComputing methodologies
dc.subjectNeural networks
dc.subjectRendering
dc.subjectRay tracing
dc.titlePhotorealistic Material Editing Through Direct Image Manipulationen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersMaterials
dc.description.volume39
dc.description.number4
dc.identifier.doi10.1111/cgf.14057
dc.identifier.pages107-120


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    Rendering 2020 - Symposium Proceedings

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Attribution 4.0 International License
Except where otherwise noted, this item's license is described as Attribution 4.0 International License