Amortized Supersampling
Lei Yang, Diego Nehab, Pedro V. Sander, Pitchaya Sitthi-amorn, Jason Lawrence, Hugues Hoppe
In ACM Transactions on Graphics, 28(5), December 2009.
Abstract: We present a real-time rendering scheme that reuses shading samples from earlier time frames to achieve practical antialiasing of procedural shaders. Using a reprojection strategy, we maintain several sets of shading estimates at subpixel precision, and incrementally update these such that for most pixels only one new shaded sample is evaluated per frame. The key difficulty is to prevent accumulated blurring during successive reprojections. We present a theoretical analysis of the blur introduced by reprojection methods. Based on this analysis, we introduce a nonuniform spatial filter, an adaptive recursive temporal filter, and a principled scheme for locally estimating the spatial blur. Our scheme is appropriate for antialiasing shading attributes that vary slowly over time. It works in a single rendering pass on commodity graphics hardware, and offers results that surpass 4×4 stratified supersampling in quality, at a fraction of the cost.
@article{Yang:2009:AS,
author = {Lei Yang and Diego Nehab and Pedro V. Sander and Pitchaya Sitthi-amorn and Jason Lawrence and Hugues Hoppe},
title = {Amortized Supersampling},
journal = {ACM Transactions on Graphics},
volume = {28},
number = {5},
pages = {135:1--135:12},
month = dec,
year = {2009},
}
Return to the search page.
graphbib: Powered by "bibsql" and "SQLite3."