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| | bartwronski.com
6.9 parsecs away

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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...
| | surma.dev
6.3 parsecs away

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| | I always loved the visual aesthetic of dithering but never knew how it's done. So I did some research. This article may contain traces of nostalgia and none of Lena.
| | blog.demofox.org
7.1 parsecs away

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| | This post explains how to use sliced optimal transport to make blue noise point sets. The plain, well commented C++ code that goes along with this post, which made the point sets and diagrams, is at https://github.com/Atrix256/SOTPointSets. This is an implementation and investigation of "Sliced Optimal Transport Sampling" by Paulin et al (http://www.geometry.caltech.edu/pubs/PBCIW+20.pdf).?They also have...
| | kevinlynagh.com
15.5 parsecs away

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| [AI summary] The author discusses their experience developing a simple neural network for sensor data processing on a microcontroller, highlighting challenges with quantization and inference optimization.