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

Author:

Yu Zihan1,Zhang Cheng2,Nowrouzezahrai Derek3,Dong Zhao4,Zhao Shuang1

Affiliation:

1. University of California

2. University of California and Meta Reality Labs

3. McGill University, Canada

4. Meta Reality Labs

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.

Funder

NSF

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design

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5. A Local Frequency Analysis of Light Scattering and Absorption

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