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GPU-Based Global Illumination Using Lightcuts

Tong Zhang
Purdue University, West Lafayette, Indiana
Purdue University, 2011

@article{zhang2011gpu,

   title={GPU-Based Global Illumination Using Lightcuts},

   author={Zhang, T.},

   year={2011}

}

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Global Illumination aims to generate high quality images. But due to its high requirements, it is usually quite slow. Research documented in this thesis was intended to offer a hardware and software combined acceleration solution to global illumination. The GPU (using CUDA) was the hardware part of the whole method that applied parallelism to increase performance; the "Lightcuts" algorithm proposed by Walter (2005) at SIGGRAPH 2005 acted as the software method. As the results demonstrated in this thesis, this combined method offers a satisfactory performance boost effect for relatively complex scenes.
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