%0 Conference Proceedings
%4 sid.inpe.br/sibgrapi/2018/09.01.19.35
%2 sid.inpe.br/sibgrapi/2018/09.01.19.35.22
%@doi 10.1109/SIBGRAPI.2018.00036
%T Scene Conversion for Physically-based Renderers
%D 2018
%A Hagemann, Luiza,
%A Oliveira, Manuel M.,
%@affiliation UFRGS
%@affiliation UFRGS
%E Ross, Arun,
%E Gastal, Eduardo S. L.,
%E Jorge, Joaquim A.,
%E Queiroz, Ricardo L. de,
%E Minetto, Rodrigo,
%E Sarkar, Sudeep,
%E Papa, João Paulo,
%E Oliveira, Manuel M.,
%E Arbeláez, Pablo,
%E Mery, Domingo,
%E Oliveira, Maria Cristina Ferreira de,
%E Spina, Thiago Vallin,
%E Mendes, Caroline Mazetto,
%E Costa, Henrique Sérgio Gutierrez,
%E Mejail, Marta Estela,
%E Geus, Klaus de,
%E Scheer, Sergio,
%B Conference on Graphics, Patterns and Images, 31 (SIBGRAPI)
%C Foz do Iguaçu, PR, Brazil
%8 29 Oct.-1 Nov. 2018
%I IEEE Computer Society
%J Los Alamitos
%S Proceedings
%K scene format conversion, Monte Carlo rendering, Monte Carlo ray tracing, physically-based rendering.
%X Physically-based rendering systems use proprietary scene description formats. Thus, by selecting a given renderer for the development of a new technique, one is often constrained to test and demonstrate it on the limited set of test scenes available for that particular renderer. This makes it difficult to compare techniques implemented on different systems. We present a solution for automatic conversion among scene description formats used by physically-based rendering systems. It enables algorithms implemented on different renderers to be tested on the same scene, providing better means of assessing their strengths and limitations. Our system can be integrated with development and benchmarking APIs, lending to full orthogonality among algorithms, rendering systems, and scene files.
%@language en
%3 Scene Conversion for Physically-based Renderers.pdf