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| | momentsingraphics.de
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| | blog.demofox.org
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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...
| | 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...
| | mynameismjp.wordpress.com
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| A common part of most HDR rendering pipelines is some form of average luminance calculation. Typically it's used to implement Reinhard's method of image calibration, which is to map the geometric mean of luminance (log average) to some "key value". This, combined with some time-based adaptation, allows for a reasonable approximation of auto-exposure or human...