Work

Area ReSTIR: Resampling for Real-Time Defocus and Antialiasing

Year: 2024

Type: article

Abstract: Recent advancements in spatiotemporal reservoir resampling (ReSTIR) leverage sample reuse from neighbors to efficiently evaluate the path integral. Like rasterization, ReSTIR methods implicitly assume a pinhole camera and evaluate the light arriving at a pixel through a single predetermined subpixel location at a time (e.g., the pixel center). This prevents efficient path reuse in and near pixels with high-frequency details. We introduce Area ReSTIR , extending ReSTIR reservoirs to also integrate each pixel's 4D ray space, including 2D areas on the film and lens. We design novel subpixel-tracking temporal reuse and shift mappings that maximize resampling quality in such regions. This robustifies ReSTIR against high-frequency content, letting us importance sample subpixel and lens coordinates and efficiently render antialiasing and depth of field.

Source: ACM Transactions on Graphics

DOI: 10.1145/3658210

Authors: Song Zhang, Daqi Lin, Markus Kettunen, Cem Yuksel, Chris Wyman

Institutions: University of Utah, Nvidia (United States)

Language: English

Topic: Computer Graphics and Visualization Techniques

Subfield: Computer Graphics and Computer-Aided Design

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funder: National Science Foundation

Award: CHS: Medium: Collaborative Research: Computer-Aided Design and Fabrication for General-Purpose Knit Manufacturing