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Numerical integration is a foundational technique in scientific computing and is at the core of many computer vision applications.
The problem of integration in finite terms
Robert H. Risch · 1969
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Algebraic reconstruction techniques (ART) for three-dimensional electron microscopy and X-ray photography
Richard Gordon, Robert Bender, and Gabor T. Herman · 1970
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The solution of the problem of integration in finite terms
Robert H. Risch · 1970
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Implementing the new Risch integration algorithm
Arthur C. Norman and P. M. A. Moore · 1977
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Ray tracing volume densities
James T. Kajiya and Brian P. Von Herzen · 1984
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Volume rendering
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Efficient ray tracing of volume data
Marc Levoy · 1990
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Frequency domain volume rendering
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Fast volume rendering using a shear-warp factorization of the viewing transformation
Philippe Lacroute and Marc Levoy · 1994
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Optical models for direct volume rendering
Nelson Max · 1995
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Optical models for direct volume rendering
Nelson Max · 1995
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An integral formula for heaviside neural networks
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Principles of Computerized Tomographic Imaging
A. C. Kak and Malcolm Slaney · 2002
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Free-viewpoint video of human actors
Joel Carranza, Christian Theobalt, Marcus A. Magnor, and Hans-Peter Seidel · 2003
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Image quality assessment: From error visibility to structural similarity
Zhou Wang, Alan C. Bovik, Hamid R. Sheikh, and Eero P. Simoncelli · 2004
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Zhou Wang, Alan C. Bovik, Hamid R. Sheikh, and Eero P. Simoncelli · 2004
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Introducing the bounded derivative network—superceding the application of neural networks in control
Paul Turner and John Guiver · 2005
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Methods of numerical integration
Philip J. Davis and Philip Rabinowitz · 2007
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Computer vision: algorithms and applications
Richard Szeliski · 2010
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The fundamental theorem of calculus in
Ulrich Mutze · 2010
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Radiative transfer
Subrahmanyan Chandrasekhar · 2013
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2014
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Adam: A method for stochastic optimization
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TensorFlow: Large-scale machine learning on heterogeneous systems, 2015
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, et al · 2015
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Searching for activation functions
Prajit Ramachandran, Barret Zoph, and Quoc V. Le · 2017
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Improving tomographic reconstruction from limited data using mixed-scale dense convolutional neural networks
Daniël M Pelt, Kees Joost Batenburg, and James A Sethian · 2018
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The unreasonable effectiveness of deep features as a perceptual metric
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Tinghui Zhou, Richard Tucker, John Flynn, Graham Fyffe, and Noah Snavely · 2018
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DeepVoxels: Learning persistent 3D feature embeddings
Vincent Sitzmann, Justus Thies, Felix Heide, Matthias Nießner, Gordon Wetzstein, and Michael Zollhöfer · 2019
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MatryODShka: Real-time 6DoF video view synthesis using multi-sphere images
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State of the art on neural rendering
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Implicit neural representations with periodic activation functions
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