“Gradient-domain volumetric photon density estimation” by Gruson, Gruson, Vibert, Nowrouzezahrai and Hachisuka

  • ©Adrien Gruson, Binh-Son Gruson, Nicolas Vibert, Derek Nowrouzezahrai, and Toshiya Hachisuka

Conference:


Type:


Entry Number: 82

Title:

    Gradient-domain volumetric photon density estimation

Session/Category Title:   Volume Rendering and Global Illumination


Presenter(s)/Author(s):


Moderator(s):



Abstract:


    Gradient-domain rendering can improve the convergence of surface-based light transport by exploiting smoothness in image space. Scenes with participating media exhibit similar smoothness and could potentially benefit from gradient-domain techniques. We introduce the first gradient-domain formulation of image synthesis with homogeneous participating media, including four novel and efficient gradient-domain volumetric density estimation algorithms. We show that naïve extensions of gradient domain path-space and density estimation methods to volumetric media, while functional, can result in inefficient estimators. Focussing on point-, beam- and plane-based gradient-domain estimators, we introduce a novel shift mapping that eliminates redundancies in the naïve formulations using spatial relaxation within the volume. We show that gradient-domain volumetric rendering improve convergence compared to primal domain state-of-the-art, across a suite of scenes. Our formulation and algorithms support progressive estimation and are easy to incorporate atop existing renderers.

References:


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