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We propose a software rasterization pipeline for point clouds that is capable of brute-force rendering up to two billion points in real time (60fps).
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Paul Rosenthal and Lars Linsen · 2008
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“High Quality Interactive Rendering of Massive Point Models Using Multi-way kd-Trees”
P. Goswami, Y. Zhang, R. Pajarola and E. Gobbetti · 2010
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Fang Liu, Meng-Cheng Huang, Xue-Hui Liu and En-Hua Wu · 2010
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“High-Performance Software Rasterization on GPUs”, HPG ’11
Samuli Laine and Tero Karras · 2011
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“Real-Time Rendering of Massive Unstructured Raw Point Clouds Using Screen-Space Operators”
Ruggero Pintus, Enrico Gobbetti and Marco Agus · 2011
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“Out-of-Core Selection and Editing of Huge Point Clouds”
Claus Scheiblauer and Michael Wimmer · 2011
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“Auto Splats: Dynamic Point Cloud Visualization on the GPU”
“A High-performance Software Graphics Pipeline Architecture for the GPU”
Michael Kenzel, Bernhard Kerbl, Dieter Schmalstieg and Markus Steinberger · 2018
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Adam Marrs, Benjamin Watson and Christopher Healey · 2018
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“Efficient Randomized Hierarchy Construction for Interactive Visualization of Large Scale Point Clouds”
L. Kang, J. Jiang, Y. Wei and Y. Xie · 2019
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“Real-Time Continuous Level of Detail Rendering of Point Clouds”
Markus Schütz, Katharina Krösl and Michael Wimmer · 2019
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“A System for Fast and Scalable Point Cloud Indexing Using Task Parallelism”
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Reinhold Preiner, Stefan Jeschke and Michael Wimmer · 2012
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“The Visibility Buffer: A Cache-Friendly Approach to Deferred Shading”
Christopher. Burns and Warren. Hunt · 2013
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“PG&E Diablo Canyon Power Plant (DCPP): San Simeon and Cambria Faults, CA, Airborne Lidar survey” Distributed by OpenTopography, 2013
Pacific Gas \& Electric Company · 2013
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“One billion points in the cloud – an octree for efficient processing of 3D laser scans” Terrestrial 3D modelling
Jan Elseberg, Dorit Borrmann and Andreas Nüchter · 2013
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“A GPGPU-based Pipeline for Accelerated Rendering of Point Clouds”
Christian Günther, Thomas Kanzok, Lars Linsen and Paul Rosenthal · 2013
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“LASzip: lossless compression of LiDAR data”
Martin Isenburg · 2013
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“Taming the beast: Free and open-source massive point cloud web visualization” Capturing Reality Forum 2015, Salzburg, Austria, 2015
Oscar Martinez-Rubi et al · 2015
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Pascal Bormann and Michel Krämer · 2020
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“Comparative study of high performance software rasterization techniques”
V.. Frolov, V.. Galaktionov and B.. Barladyan · 2020
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“HistSFC: Optimization for nD massive spatial points querying”
Haicheng Liu et al · 2020
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“A 3D graphics rendering pipeline implementation based on the openCL massively parallel processing”
Mingyu Kim and Nakhoon Baek · 2021
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“A Deep Dive into Nanite Virtualized Geometry” https://advances.realtimerendering.com/s2021/index.html [Accessed 10-September-2021]
Brian Karis, Rune Stubbe and Graham Wihlidal · 2021
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“Potree” http://potree.org , Accessed 2021.03.19
2021
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“Adop: Approximate differentiable one-pixel point rendering”
Darius Rückert, Linus Franke and Marc Stamminger · 2021
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“Rendering Point Clouds with Compute Shaders and Vertex Order Optimization”
Markus Schütz, Bernhard Kerbl and Michael Wimmer · 2021
Later among the works it cites.