1. [Publications](/publications)
2. Area ReSTIR: Resampling for Real-Time Defocus and Antialiasing
 
 # Area ReSTIR: Resampling for Real-Time Defocus and Antialiasing

  ![](/sites/default/files/styles/wide/public/publications/area-restir-ari.jpg?itok=M9QHVKnZ)

 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.



 ## Authors



Song Zhang (University of Utah)

[Daqi Lin](/person/daqi-lin)

[Markus Kettunen](/person/markus-kettunen)

Cem Yuksel (University of Utah)

[Chris Wyman](/person/chris-wyman)

 

 

 ## Publication Date



Monday, July 1, 2024

 

 ## Published in



[ACM Transactions on Graphics (SIGGRAPH 2024)](https://doi.org/10.1145/3658210)

 

 ## Research Area



[Computer Graphics](/research-area/computer-graphics)

 

 

 ## External Links



[Paper PDF](https://research.nvidia.com/labs/rtr/publication/zhang2024area/zhang2024area.pdf)

[Submission Video](https://research.nvidia.com/labs/rtr/publication/zhang2024area/zhang2024area.mp4)

[Two-Minute Paper Style Overview Video](https://research.nvidia.com/labs/rtr/publication/zhang2024area/zhang2024area_overview.mp4)

[Project Page](https://research.nvidia.com/labs/rtr/publication/zhang2024area/)