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    <subfield code="a">10.2312/sr.20251187</subfield>
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    <subfield code="a">ART-2025-145847</subfield>
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    <subfield code="a">eng</subfield>
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    <subfield code="a">Jimenez-Navarro, Santiago</subfield>
    <subfield code="u">Universidad de Zaragoza</subfield>
    <subfield code="0">(orcid)0009-0004-7376-8894</subfield>
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  <datafield tag="245" ind1=" " ind2=" ">
    <subfield code="a">A Controllable Appearance Representation for Flexible Transfer and Editing</subfield>
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    <subfield code="c">2025</subfield>
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  <datafield tag="520" ind1="3" ind2=" ">
    <subfield code="a">We present a method that computes an interpretable representation of material appearance within a highly compact, disentangled latent space. This representation is learned in a self-supervised fashion using a VAE-based model. We train our model with a carefully designed unlabeled dataset, avoiding possible biases induced by human-generated labels. Our model demonstrates strong disentanglement and interpretability by effectively encoding material appearance and illumination, despite the absence of explicit supervision. To showcase the capabilities of such a representation, we leverage it for two proof-of-concept applications: image-based appearance transfer and editing. Our representation is used to condition a diffusion pipeline that transfers the appearance of one or more images onto a target geometry, and allows the user to further edit the resulting appearance. This approach offers fine-grained control over the generated results: thanks to the well-structured compact latent space, users can intuitively manipulate attributes such as hue or glossiness in image space to achieve the desired final appearance.</subfield>
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    <subfield code="a">Access copy available to the general public</subfield>
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    <subfield code="9">info:eu-repo/grantAgreement/EC/H2020/956585/EU/Predictive Rendering In Manufacture and Engineering/PRIME</subfield>
    <subfield code="9">This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 956585-PRIME</subfield>
    <subfield code="9">info:eu-repo/grantAgreement/ES/MCIU/FPU20-02340</subfield>
    <subfield code="9">info:eu-repo/grantAgreement/ES/MICIU/PID2022-141766OB-I00</subfield>
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    <subfield code="a">Guerrero-Viu, Julia</subfield>
    <subfield code="u">Universidad de Zaragoza</subfield>
    <subfield code="0">(orcid)0000-0002-2077-683X</subfield>
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  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="a">Masia, Belén</subfield>
    <subfield code="u">Universidad de Zaragoza</subfield>
    <subfield code="0">(orcid)0000-0003-0060-7278</subfield>
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    <subfield code="1">5007</subfield>
    <subfield code="2">570</subfield>
    <subfield code="a">Universidad de Zaragoza</subfield>
    <subfield code="b">Dpto. Informát.Ingenie.Sistms.</subfield>
    <subfield code="c">Área Lenguajes y Sistemas Inf.</subfield>
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  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="g">2025 (2025), [13 pp.]</subfield>
    <subfield code="p">Eurographics Symp. Render.</subfield>
    <subfield code="t">Eurographics Symposium on Rendering</subfield>
    <subfield code="x">1553-0574</subfield>
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    <subfield code="a">2025-11-07-10:25:55</subfield>
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