“Efficient Differentiation of Pixel Reconstruction Filters for Path-Space Differentiable Rendering” by Yu, Zhang, Nowrouzezahrai, Dong and Zhao – ACM SIGGRAPH HISTORY ARCHIVES

“Efficient Differentiation of Pixel Reconstruction Filters for Path-Space Differentiable Rendering” by Yu, Zhang, Nowrouzezahrai, Dong and Zhao

  • 2022 SA Technical Papers_Yu_Efficient Differentiation of Pixel Reconstruction Filters for Path-Space Differentiable Rendering

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Title:

    Efficient Differentiation of Pixel Reconstruction Filters for Path-Space Differentiable Rendering

Session/Category Title:   Differentiable Rendering


Presenter(s)/Author(s):



Abstract:


    Pixel reconstruction filters play an important role in physics-based rendering and have been thoroughly studied. In physics-based differentiable rendering, however, the proper treatment of pixel filters remains largely under-explored. We present a new technique to efficiently differentiate pixel reconstruction filters based on the path-space formulation. Specifically, we formulate the pixel boundary integral that models discontinuities in pixel filters and introduce new antithetic sampling methods that support differentiable path sampling methods, such as adjoint particle tracing and bidirectional path tracing. We demonstrate both the need and efficacy of antithetic sampling when estimating this integral, and we evaluate its effectiveness across several differentiable- and inverse-rendering settings.

References:


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