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dc.contributor.authorHu, Yiweien_US
dc.contributor.authorHašan, Milošen_US
dc.contributor.authorGuerrero, Paulen_US
dc.contributor.authorRushmeier, Hollyen_US
dc.contributor.authorDeschaintre, Valentinen_US
dc.contributor.editorGhosh, Abhijeeten_US
dc.contributor.editorWei, Li-Yien_US
dc.date.accessioned2022-07-01T15:36:58Z
dc.date.available2022-07-01T15:36:58Z
dc.date.issued2022
dc.identifier.issn1467-8659
dc.identifier.urihttps://doi.org/10.1111/cgf.14591
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf14591
dc.description.abstractDespite the ubiquitous use of materials maps in modern rendering pipelines, their editing and control remains a challenge. In this paper, we present an example-based material control method to augment input material maps based on user-provided material photos. We train a tileable version of MaterialGAN and leverage its material prior to guide the appearance transfer, optimizing its latent space using differentiable rendering. Our method transfers the micro and meso-structure textures of user provided target(s) photographs, while preserving the structure and quality of the input material. We show our methods can control existing material maps, increasing realism or generating new, visually appealing materials.en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectCCS Concepts: Computing methodologies --> Reflectance modeling
dc.subjectComputing methodologies
dc.subjectReflectance modeling
dc.titleControlling Material Appearance by Examplesen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersMaterial Modeling and Measurement
dc.description.volume41
dc.description.number4
dc.identifier.doi10.1111/cgf.14591
dc.identifier.pages117-128
dc.identifier.pages12 pages


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  • 41-Issue 4
    Rendering 2022 - Symposium Proceedings

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