Gradient-Domain Bidirectional Path Tracing


Autoria(s): Manzi, Marco; Kettunen, Markus; Aittala, Miika; Lehtinen, Jaakko; Durand, Frédo; Zwicker, Matthias
Contribuinte(s)

Lehtinen, Jaakko

Nowrouzezahrai, Derek

Data(s)

22/06/2015

Resumo

Gradient-domain path tracing has recently been introduced as an efficient realistic image synthesis algorithm. This paper introduces a bidirectional gradient-domain sampler that outperforms traditional bidirectional path tracing often by a factor of two to five in terms of squared error at equal render time. It also improves over unidirectional gradient-domain path tracing in challenging visibility conditions, similarly as conventional bidirectional path tracing improves over its unidirectional counterpart. Our algorithm leverages a novel multiple importance sampling technique and an efficient implementation of a high-quality shift mapping suitable for bidirectional path tracing. We demonstrate the versatility of our approach in several challenging light transport scenarios.

Formato

application/pdf

Identificador

http://boris.unibe.ch/83428/1/G-BDPT-EGSR2015.pdf

Manzi, Marco; Kettunen, Markus; Aittala, Miika; Lehtinen, Jaakko; Durand, Frédo; Zwicker, Matthias (22 June 2015). Gradient-Domain Bidirectional Path Tracing. In: Lehtinen, Jaakko; Nowrouzezahrai, Derek (eds.) Eurographics Symposium on Rendering - Experimental Ideas & Implementations. Eurographics Association 10.2312/sre.20151168 <http://dx.doi.org/10.2312/sre.20151168>

doi:10.7892/boris.83428

info:doi:10.2312/sre.20151168

Idioma(s)

eng

Publicador

Eurographics Association

Relação

http://boris.unibe.ch/83428/

Direitos

info:eu-repo/semantics/restrictedAccess

Fonte

Manzi, Marco; Kettunen, Markus; Aittala, Miika; Lehtinen, Jaakko; Durand, Frédo; Zwicker, Matthias (22 June 2015). Gradient-Domain Bidirectional Path Tracing. In: Lehtinen, Jaakko; Nowrouzezahrai, Derek (eds.) Eurographics Symposium on Rendering - Experimental Ideas & Implementations. Eurographics Association 10.2312/sre.20151168 <http://dx.doi.org/10.2312/sre.20151168>

Palavras-Chave #000 Computer science, knowledge & systems #510 Mathematics
Tipo

info:eu-repo/semantics/conferenceObject

info:eu-repo/semantics/publishedVersion

PeerReviewed