“Denoising-aware Adaptive Sampling for Monte Carlo Ray Tracing” by Firmino, Frisvad and Jensen

  • ©Arthur Firmino, Jeppe Revall Frisvad, and Henrik Wann Jensen

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    Denoising-aware Adaptive Sampling for Monte Carlo Ray Tracing

Session/Category Title:   Neural Light Transport


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Abstract:


    We present an adaptive sampling technique for Monte Carlo rendering when combined with learning-based denoisers. Our technique requires no additional learning and is based on a novel estimate of a neural network’s output variance. Applying this to pre-existing denoisers and recent consistent post-correction techniques, we achieve faster error convergence.


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