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Image Space Gathering Austin Robison Predictive Rendering - - PowerPoint PPT Presentation
Image Space Gathering Austin Robison Predictive Rendering - - PowerPoint PPT Presentation
Image Space Gathering Austin Robison Predictive Rendering Phenomenological Rendering Robustness Robustness Speed Speed Controllable Accuracy Appearance Example Phenomena Soft Shadows Depth of Field Motion Blur Color Bleeding
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Example Phenomena
Soft Shadows Depth of Field Motion Blur Color Bleeding Subsurface Scattering Glossy Reflection
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Plan of Attack
Identify salient features of phenomenon Find cheap approximation for some or all of those features As hardware and techniques improve, find better approximations that capture more features
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Glossy Reflection
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Selected Previous Work
Percentage Closer Soft Shadows (PCSS) [Fernando 2005] Reflection Occlusion [Landis 2002]
See Paper for Additional Work
Courtesy of Industrial Light & Magic
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Variable Radius Blur - Spreading
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Variable Radius Blur - Gathering
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Cross Bilateral Filtering
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Image Space Gathering
Image space, post processing convolution with a two-pass signal dependent filter General framework for blurring
Tailor our parameters to implement the desired phenomenon
Filter integral can be computed many ways
We chose to point sample and MC integrate
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Algorithm Pipeline
Rasterize Requests Ray Trace Reflections Blur and Composite
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Position Reflection Normal trefl
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Phase 1: the parameter search
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Phase 2: the gather
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Undersampling Artifacts
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ISG
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PCF (Screen Space)
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Future Work
Add structure to filter kernel sample distribution
Approximate anisotropic BRDFs, shaped area lights, lens bokeh, etc.
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Acknowledgements
NVIDIA Research Randy Fernando and Louis Bavoil
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