Gradient-Domain Bidirectional Path Tracing

نویسندگان

  • Marco Manzi
  • Markus Kettunen
  • Miika Aittala
  • Jaakko Lehtinen
  • Frédo Durand
  • Matthias Zwicker
چکیده

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 to how 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.

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تاریخ انتشار 2015