Alexander Keller
Morgan McGuire
ABSTRACT
Real-time graphics has come a long way since the "brute-force approach" of rasterization had been classified "ridiculously expensive" in 1974. Henceforth the promise "Ray tracing is the future and ever will be" drove the development of ray tracing algorithms and hardware, and resulted in a major revolution of image synthesis. This course will take a look at how far out the future is, review the state of the art, and identify the current challenges for research. Not surprisingly, it looks like we are not done with ray tracing, yet.
Supplemental Material
- (KFF<sup>+</sup>15) A. Keller, L. Fascione, M. Fajardo, I. Georgiev, P Christensen, J. Hanika, C. Eisenacher, and G. Nichols. The path tracing revolution in the movie industry. In ACM SIGGRAPH 2015 Courses, SIGGRAPH '15. ACM, 2015. Google Scholar
Digital Library
- (SPD18) C. Schied, C. Peters, and C. Dachsbacher. Gradient estimation for real-time adaptive temporal filtering. In Proceedings of High Performance Graphics, HPG '18. ACM, 2018.Google ScholarDigital Library
- (VKJ<sup>+</sup>17) T. Viitanen, M. Koskela, P Jääskeläinen, H. Kultala, and J. Takala. Merge-tree: A fast hardware hlbvh constructor for animated ray tracing. ACM Trans. Graph., 36(5):169:1--169:14, 2017. Google ScholarDigital Library
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