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Anti-aliasing

Known as: Antialiasing, Anti aliasing, AA 
Anti-aliasing may refer to any of a number of techniques to combat the problems of aliasing in a sampled signal such as a digital image or digital… Expand
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Papers overview

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Highly Cited
2017
Highly Cited
2017
In computer vision, convolutional neural networks (CNNs) achieve unprecedented performance for inverse problems where RGB pixel… Expand
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2016
2016
We present a novel technique that produces two-dimensional low-discrepancy (LD) blue noise point sets for sampling. Using one… Expand
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2015
2015
Volume caustics are high‐frequency effects appearing in participating media with low opacity, when refractive interfaces are… Expand
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2012
2012
This work presents an algorithm for the local subpixel estimation of the Point Spread Function (PSF) that models the intrinsic… Expand
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2010
2010
Cable-supported bridges rely on the use of steel cables to support the bridge deck and load on it. Cable tension forces are… Expand
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2010
2010
We present a novel hybrid rendering method for diffuse and glossy indirect illumination. A scene is rendered using standard… Expand
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2006
2006
We describe an importance sampling method to generate samples based on the product of a BRDF and an environment map or large… Expand
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2003
2003
This paper introduces an image decimation technique based on the use of a near least-squares criterion that makes a proper… Expand
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1999
1999
The aim of this work is to provide a means to approximate the real boundary underlying the discrete boundary of a digitized 2D… Expand
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1999
1999
By Brian Black How important are the differences between sigma-delta and successive-approximation architectures in choosing an… Expand
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