Robust adaptive sampling for Monte-Carlo-based rendering
Résumé
Computation times of Monte-Carlo-based rendering methods can be lowered by correctly focusing processing power on the parts of the image where convergence is harder to reach. This can be done efficiently by estimating each pixel's error, or better, using a measure of quality of the pixel (such as entropy-based methods). However, since these last methods do not uniformize the error over the pixels, they are not very well suited for progressive or time-constrained computations.
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Origine | Fichiers produits par l'(les) auteur(s) |
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Format | Figure, Image |
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Origine | Fichiers produits par l'(les) auteur(s) |