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RT
2005
Springer

Adaptive Frameless Rendering

13 years 9 months ago
Adaptive Frameless Rendering
We propose an adaptive form of frameless rendering with the potential to dramatically increase rendering speed over conventional interactive rendering approaches. Without the rigid sampling patterns of framed renderers, sampling and reconstruction can adapt with very fine granularity to spatio-temporal color change. A sampler uses closed-loop feedback to guide sampling toward edges or motion in the image. Temporally deep buffers store all the samples created over a short time interval for use in reconstruction and as sampler feedback. GPU-based reconstruction responds both to sampling density and space-time color gradients. Where the displayed scene is static, spatial color change dominates and older samples are given significant weight in reconstruction, resulting in sharper and eventually antialiased images. Where the scene is dynamic, more recent samples are emphasized, resulting in less sharp but more up-to-date images. We also use sample reprojection to improve reconstruction and...
Abhinav Dayal, Cliff Woolley, Benjamin Watson, Dav
Added 28 Jun 2010
Updated 28 Jun 2010
Type Conference
Year 2005
Where RT
Authors Abhinav Dayal, Cliff Woolley, Benjamin Watson, David P. Luebke
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