Practical uses of a ray tracer for
            <i>Cloudy with a Chance of Meatballs</i>

Dimian, Danny; Herbst, Karl

doi:10.1145/1597990.1598034

SIGGRAPH 2009: Talks 2009

DOI: 10.1145/1597990.1598034

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Practical uses of a ray tracer for Cloudy with a Chance of Meatballs

Danny Dimian¹,

Karl Herbst²

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Spectral Mollification for Bidirectional Fluorescence

Jung

Hanika

Dachsbacher

2020

Computer Graphics Forum

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Fluorescent materials can shift energy between wavelengths, thereby creating bright and saturated colors both in natural and artificial materials. However, rendering fluorescence for continuous wavelengths or combined with wavelength dependent path configurations so far has only been feasible using spectral unidirectional methods. We present a regularization‐based approach for supporting fluorescence in a spectral bidirectional path tracer. Our algorithm samples camera and light sub‐paths with independent wavelengths, and when connecting them mollifies the BSDF at one of the connecting vertices such that it reradiates light across multiple wavelengths. We discuss arising issues such as color bias in early iterations, consistency of the method and MIS weights in the presence of spectral mollification. We demonstrate our method in scenes combining fluorescence and transport phenomena that are difficult to render with unidirectional or spectrally discrete methods.

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Spectral Mollification for Bidirectional Fluorescence

Jung

Hanika

Dachsbacher

2020

Computer Graphics Forum

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Optimised Path Space Regularisation

Weier¹,

Droske²,

Hanika³

et al. 2021

Computer Graphics Forum

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We present Optimised Path Space Regularisation (OPSR), a novel regularisation technique for forward path tracing algorithms. Our regularisation controls the amount of roughness added to materials depending on the type of sampled paths and trades a small error in the estimator for a drastic reduction of variance in difficult paths, including indirectly visible caustics. We formulate the problem as a joint bias‐variance minimisation problem and use differentiable rendering to optimise our model. The learnt parameters generalise to a large variety of scenes irrespective of their geometric complexity. The regularisation added to the underlying light transport algorithm naturally allows us to handle the problem of near‐specular and glossy path chains robustly. Our method consistently improves the convergence of path tracing estimators, including state‐of‐the‐art path guiding techniques where it enables finding otherwise hard‐to‐sample paths and thus, in turn, can significantly speed up the learning of guiding distributions.

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Practical uses of a ray tracer for Cloudy with a Chance of Meatballs

Cited by 2 publications

References 0 publications

Spectral Mollification for Bidirectional Fluorescence

Spectral Mollification for Bidirectional Fluorescence

Optimised Path Space Regularisation

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