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Spatio-temporal upsampling on the GPU

Robert Herzog, Elmar Eisemann, Karol Myszkowski, H.-P. Seidel
MPI Informatik
Proceedings of the 2010 ACM SIGGRAPH symposium on Interactive 3D Graphics and Games, I3D ’10

@conference{herzog2010spatio,

   title={Spatio-temporal upsampling on the GPU},

   author={Herzog, R. and Eisemann, E. and Myszkowski, K. and Seidel, H.P.},

   booktitle={Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games},

   pages={91–98},

   year={2010},

   organization={ACM}

}

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Pixel processing is becoming increasingly expensive for real-time applications due to the complexity of today’s shaders and high-resolution framebuffers. However, most shading results are spatially or temporally coherent, which allows for sparse sampling and reuse of neighboring pixel values. This paper proposes a simple framework for spatio-temporal upsampling on modern GPUs. In contrast to previous work, which focuses either on temporal or spatial processing on the GPU, we exploit coherence in both. Our algorithm combines adaptive motion-compensated filtering over time and geometry-aware upsampling in image space. It is robust with respect to high-frequency temporal changes, and achieves substantial performance improvements by limiting the number of recomputed samples per frame. At the same time, we increase the quality of spatial upsampling by recovering missing information from previous frames. This temporal strategy also allows us to ensure that the image converges to a higher quality result.
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