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momentsingraphics.de | ||
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bartwronski.com
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| | | | | Introduction This will be a blog post that is second in an (unanticipated) series on interesting uses of the JAX numpy autodifferentiation library, as well as an extra post in my very old post series on dithering in games and blue noise specifically. Teaser: we will "optimize" a dithering matrix directly in Fourier domain and... | |
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blog.demofox.org
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| | | | | The python code that goes along with this blog post can be found at https://github.com/Atrix256/InverseDFTProblems To evaluate the quality of a blue noise texture, you can analyze it in frequency space by taking a discrete Fourier transform. What you want to see is something that looks like tv static (white noise) with a darkened center,... | |
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therealmjp.github.io
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| | | | | For a theoretical understanding of aliasing and anti-aliasing, we can turn to the fields of signal processing[1] and sampling theory[2]. This article will explain some of the basics ofthese two related field in my own words, taking a more theoretical point of view. In the following article the concepts covered here will be used to analyze common aspects of real-time graphics, so that we can describe them in terms of signal processing. | |
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www.hamza.se
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| | | A walkthrough of implementing a neural network from scratch in Python, exploring what makes these seemingly complex systems actually quite straightforward. | ||
