000163848 001__ 163848
000163848 005__ 20251107115329.0
000163848 0247_ $$2doi$$a10.2312/sr.20251187
000163848 0248_ $$2sideral$$a145847
000163848 037__ $$aART-2025-145847
000163848 041__ $$aeng
000163848 100__ $$0(orcid)0009-0004-7376-8894$$aJimenez-Navarro, Santiago$$uUniversidad de Zaragoza
000163848 245__ $$aA Controllable Appearance Representation for Flexible Transfer and Editing
000163848 260__ $$c2025
000163848 5060_ $$aAccess copy available to the general public$$fUnrestricted
000163848 5203_ $$aWe 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.
000163848 536__ $$9info:eu-repo/grantAgreement/EC/H2020/956585/EU/Predictive Rendering In Manufacture and Engineering/PRIME$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 956585-PRIME$$9info:eu-repo/grantAgreement/ES/MCIU/FPU20-02340$$9info:eu-repo/grantAgreement/ES/MICIU/PID2022-141766OB-I00
000163848 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttps://creativecommons.org/licenses/by/4.0/deed.es
000163848 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000163848 700__ $$0(orcid)0000-0002-2077-683X$$aGuerrero-Viu, Julia$$uUniversidad de Zaragoza
000163848 700__ $$0(orcid)0000-0003-0060-7278$$aMasia, Belén$$uUniversidad de Zaragoza
000163848 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000163848 773__ $$g2025 (2025), [13 pp.]$$pEurographics Symp. Render.$$tEurographics Symposium on Rendering$$x1553-0574
000163848 8564_ $$s1082549$$uhttps://zaguan.unizar.es/record/163848/files/texto_completo.pdf$$yVersión publicada
000163848 8564_ $$s2265342$$uhttps://zaguan.unizar.es/record/163848/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000163848 909CO $$ooai:zaguan.unizar.es:163848$$particulos$$pdriver
000163848 951__ $$a2025-11-07-10:25:55
000163848 980__ $$aARTICLE