Presentation

Antithetic Sampling for Monte Carlo Differentiable Rendering
SessionTechnical Papers
Authors
Cheng Zhang
Zhao Dong
Michael Doggett
Shuang Zhao
Event Type
Technical Paper
Interest Areas
Research & Education
Registration Levels
Ultimate Supporter
Ultimate Attendee
Exhibitor Ultimate
Time
Location
DescriptionIn this paper, we introduce new Monte Carlo sampling methods that leverage antithetic sampling — a classic
variance reduction technique — to efficiently estimate rendering derivatives for glossy scenes.
Authors
Cheng Zhang
University of California Irvine
Zhao Dong
Facebook Reality Labs
Michael Doggett
Lund University
Shuang Zhao
University of California Irvine