000118805 001__ 118805 000118805 005__ 20240614091132.0 000118805 0247_ $$2doi$$a10.1016/j.cag.2022.07.003 000118805 0248_ $$2sideral$$a129994 000118805 037__ $$aART-2022-129994 000118805 041__ $$aeng 000118805 100__ $$0(orcid)0000-0001-6880-322X$$aRoyo, Diego$$uUniversidad de Zaragoza 000118805 245__ $$aNon-line-of-sight transient rendering 000118805 260__ $$c2022 000118805 5060_ $$aAccess copy available to the general public$$fUnrestricted 000118805 5203_ $$aThe capture and analysis of light in flight, or light in transient state, has enabled applications such as range imaging, reflectance estimation and especially non-line-of-sight (NLOS) imaging. For this last case, hidden geometry can be reconstructed using time-resolved measurements of indirect diffuse light emitted by a laser. Transient rendering is a key tool for developing such new applications, significantly more challenging than its steady-state counterpart. In this work, we introduce a set of simple yet effective subpath sampling techniques targeting transient light transport simulation in occluded scenes. We analyze the usual capture setups of NLOS scenes, where both the camera and light sources are focused on particular points in the scene. Also, the hidden geometry can be difficult to sample using conventional techniques. We leverage that configuration to reduce the integration path space. We implement our techniques in a modified version of Mitsuba 2 adapted for transient light transport, allowing us to support parallelization, polarization, and differentiable rendering. © 2022 The Author(s) 000118805 536__ $$9info:eu-repo/grantAgreement/ES/AEI/PID2019-105004GB-I00$$9info:eu-repo/grantAgreement/EC/H2020/682080/EU/Intuitive editing of visual appearance from real-world datasets/CHAMELEON$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 682080-CHAMELEON$$9info:eu-repo/grantAgreement/EC/H2020/956585/EU/Predictive Rendering In Manufacture and Engineering/PRIME$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 956585-PRIME 000118805 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/ 000118805 590__ $$a2.5$$b2022 000118805 592__ $$a0.539$$b2022 000118805 591__ $$aCOMPUTER SCIENCE, SOFTWARE ENGINEERING$$b52 / 108 = 0.481$$c2022$$dQ2$$eT2 000118805 593__ $$aComputer Graphics and Computer-Aided Design$$c2022$$dQ2 000118805 593__ $$aComputer Vision and Pattern Recognition$$c2022$$dQ2 000118805 593__ $$aEngineering (miscellaneous)$$c2022$$dQ2 000118805 593__ $$aSignal Processing$$c2022$$dQ2 000118805 593__ $$aHuman-Computer Interaction$$c2022$$dQ3 000118805 593__ $$aSoftware$$c2022$$dQ3 000118805 594__ $$a4.9$$b2022 000118805 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000118805 700__ $$0(orcid)0000-0001-6070-0509$$aGarcía, Jorge 000118805 700__ $$0(orcid)0000-0002-8160-7159$$aMuñoz, Adolfo$$uUniversidad de Zaragoza 000118805 700__ $$aJarabo, Adrian 000118805 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf. 000118805 773__ $$g107 (2022), 84-92$$pComput. graph.$$tCOMPUTERS & GRAPHICS-UK$$x0097-8493 000118805 8564_ $$s2783802$$uhttps://zaguan.unizar.es/record/118805/files/texto_completo.pdf$$yVersión publicada 000118805 8564_ $$s2986702$$uhttps://zaguan.unizar.es/record/118805/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000118805 909CO $$ooai:zaguan.unizar.es:118805$$particulos$$pdriver 000118805 951__ $$a2024-06-14-09:08:38 000118805 980__ $$aARTICLE