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Differentiable Direct Volume Rendering.

Sebastian Weiss, Rudiger Westermann

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    |September 29, 2021
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    This summary is machine-generated.

    This study introduces a differentiable volume rendering method for optimizing parameters. It enables automatic viewpoint selection and transfer function optimization, enhancing 3D density field reconstruction.

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    Area of Science:

    • Computer Graphics
    • Scientific Visualization
    • Image Reconstruction

    Background:

    • Volume rendering is crucial for visualizing 3D data.
    • Optimizing rendering parameters and volumetric data is challenging.
    • Existing methods often lack full differentiability or have memory limitations.

    Purpose of the Study:

    • To develop a fully differentiable volume rendering solution.
    • To enable automatic optimization of rendering parameters and volumetric data.
    • To improve 3D density field reconstruction and analysis.

    Main Methods:

    • Implemented a differentiable volume renderer with constant memory footprint.
    • Utilized analytic inversion of blending functions for efficiency.
    • Applied differentiable entropy for automatic viewpoint selection.
    • Optimized transfer functions from rendered images.
    • Developed two methods for per-voxel density optimization: inverse tomography and a novel emission-absorption model.

    Main Results:

    • Demonstrated automatic viewpoint selection using differentiable entropy.
    • Successfully optimized transfer functions for volume rendering.
    • Showcased optimization of 3D density fields using absorption and emission-absorption models.
    • Achieved comparable results to existing reconstruction techniques.

    Conclusions:

    • The proposed differentiable volume rendering approach facilitates automatic optimization of rendering parameters and volumetric data.
    • This method offers a robust framework for inverse problems in scientific visualization and image reconstruction.
    • The technique provides a foundation for advanced analysis and manipulation of 3D datasets.