000135593 001__ 135593 000135593 005__ 20260217205600.0 000135593 0247_ $$2doi$$a10.1111/cgf.15035 000135593 0248_ $$2sideral$$a138705 000135593 037__ $$aART-2024-138705 000135593 041__ $$aeng 000135593 100__ $$0(orcid)0000-0001-7183-8159$$aLanza, Dario$$uUniversidad de Zaragoza 000135593 245__ $$aNavigating the Manifold of Translucent Appearance 000135593 260__ $$c2024 000135593 5060_ $$aAccess copy available to the general public$$fUnrestricted 000135593 5203_ $$aWe present a perceptually‐motivated manifold for translucent appearance, designed for intuitive editing of translucent materials by navigating through the manifold. Classic tools for editing translucent appearance, based on the use of sliders to tune a number of parameters, are challenging for non‐expert users: These parameters have a highly non‐linear effect on appearance, and exhibit complex interplay and similarity relations between them. Instead, we pose editing as a navigation task in a low‐dimensional space of appearances, which abstracts the user from the underlying optical parameters. To achieve this, we build a low‐dimensional continuous manifold of translucent appearance that correlates with how humans perceive this type of materials. We first analyze the correlation of different distance metrics in image space with human perception. We select the best‐performing metric to build a low‐dimensional manifold, which can be used to navigate the space of translucent appearance. To evaluate the validity of our proposed manifold within its intended application scenario, we build an editing interface that leverages the manifold, and relies on image navigation plus a fine‐tuning step to edit appearance. We compare our intuitive interface to a traditional, slider‐based one in a user study, demonstrating its effectiveness and superior performance when editing translucent objects. 000135593 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$$9info:eu-repo/grantAgreement/ES/MICINN/PID2022-141766OB-I00 000135593 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc$$uhttps://creativecommons.org/licenses/by-nc/4.0/deed.es 000135593 590__ $$a2.9$$b2024 000135593 592__ $$a0.788$$b2024 000135593 591__ $$aCOMPUTER SCIENCE, SOFTWARE ENGINEERING$$b49 / 129 = 0.38$$c2024$$dQ2$$eT2 000135593 593__ $$aComputer Graphics and Computer-Aided Design$$c2024$$dQ1 000135593 593__ $$aComputer Networks and Communications$$c2024$$dQ2 000135593 594__ $$a6.0$$b2024 000135593 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000135593 700__ $$0(orcid)0000-0003-0060-7278$$aMasia, Belen$$uUniversidad de Zaragoza 000135593 700__ $$0(orcid)0000-0001-9000-0466$$aJarabo, Adrian 000135593 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf. 000135593 773__ $$g43, 2 (2024), e15035 [13 pp.]$$pComput. graph. forum$$tComputer Graphics Forum$$x0167-7055 000135593 8564_ $$s1432175$$uhttps://zaguan.unizar.es/record/135593/files/texto_completo.pdf$$yVersión publicada 000135593 8564_ $$s2075125$$uhttps://zaguan.unizar.es/record/135593/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000135593 909CO $$ooai:zaguan.unizar.es:135593$$particulos$$pdriver 000135593 951__ $$a2026-02-17-20:44:23 000135593 980__ $$aARTICLE