Rendering antialiased shadows with depth maps
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Fast calculation of soft shadow textures using convolution
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
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SIGGRAPH '77 Proceedings of the 4th annual conference on Computer graphics and interactive techniques
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SIGGRAPH '78 Proceedings of the 5th annual conference on Computer graphics and interactive techniques
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ACM SIGGRAPH 2003 Papers
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ACM SIGGRAPH 2005 Papers
Parallel-split shadow maps for large-scale virtual environments
Proceedings of the 2006 ACM international conference on Virtual reality continuum and its applications
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GH '06 Proceedings of the 21st ACM SIGGRAPH/EUROGRAPHICS symposium on Graphics hardware
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ACM SIGGRAPH 2008 papers
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GI '08 Proceedings of graphics interface 2008
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EGSR'08 Proceedings of the Nineteenth Eurographics conference on Rendering
EGSR'04 Proceedings of the Fifteenth Eurographics conference on Rendering Techniques
ACM SIGGRAPH ASIA 2009 Courses
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Edutainment'10 Proceedings of the Entertainment for education, and 5th international conference on E-learning and games
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ACM Transactions on Graphics (TOG)
ACM SIGGRAPH 2013 Courses
Exponential soft shadow mapping
EGSR '13 Proceedings of the Eurographics Symposium on Rendering
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Recent soft shadow mapping techniques based on back-projection can render high quality soft shadows in real time. However, real time high quality rendering of large penumbrae is still challenging, especially when multilayer shadow maps are used to reduce single light sample silhouette artifact. In this paper, we present an efficient algorithm to attack this problem. We first present a GPU-friendly packet-based approach rendering a packet of neighboring pixels together to amortize the cost of computing visibility factors. Then, we propose a hierarchical technique to quickly locate the contour edges, further reducing the computation cost. At last, we suggest a multiview shadow map approach to reduce the single light sample artifact. We also demonstrate its higher image quality and higher efficiency compared to the existing depth peeling approaches.