“Accurate appearance preserving prefiltering for rendering displacement-mapped surfaces” by Wu, Zhao, Yan and Ramamoorthi

  • ©Lifan Wu, Shuang Zhao, Ling-Qi Yan, and Ravi Ramamoorthi

Conference:


Type:


Title:

    Accurate appearance preserving prefiltering for rendering displacement-mapped surfaces

Session/Category Title:   Acquiring, Perceiving and Rendering Material Appearance


Presenter(s)/Author(s):



Abstract:


    Prefiltering the reflectance of a displacement-mapped surface while preserving its overall appearance is challenging, as smoothing a displacement map causes complex changes of illumination effects such as shadowing-masking and interreflection. In this paper, we introduce a new method that prefilters displacement maps and BRDFs jointly and constructs SVBRDFs at reduced resolutions. These SVBRDFs preserve the appearance of the input models by capturing both shadowing-masking and interreflection effects. To express our appearance-preserving SVBRDFs efficiently, we leverage a new representation that involves spatially varying NDFs and a novel scaling function that accurately captures micro-scale changes of shadowing, masking, and interreflection effects. Further, we show that the 6D scaling function can be factorized into a 2D function of surface location and a 4D function of direction. By exploiting the smoothness of these functions, we develop a simple and efficient factorization method that does not require computing the full scaling function. The resulting functions can be represented at low resolutions (e.g., 42 for the spatial function and 154 for the angular function), leading to minimal additional storage. Our method generalizes well to different types of geometries beyond Gaussian surfaces. Models prefiltered using our approach at different scales can be combined to form mipmaps, allowing accurate and anti-aliased level-of-detail (LoD) rendering.

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