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dfm.io | ||
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smerity.com
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| | | | | [AI summary] This article details an experimental testbed for an unbiased Monte Carlo renderer that utilizes importance sampling, explicit light sampling, and Russian roulette path termination to achieve photo-realistic images significantly faster than traditional methods. | |
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tiao.io
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| | | | | This post demonstrates how to approximate the KL divergence (in fact, any f-divergence) between implicit distributions, using density ratio estimation by probabilistic classification. | |
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austinrochford.com
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| | | | | I recently read the interesting paper The ARR2 prior: flexible predictive prior definition for Bayesian auto-regressions on the arXiv and followed its references to the also fascinating Bayesian Regre | |
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blog.demofox.org
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| | | The images below were path traced using 100,000 samples per pixel, using the sample code provided in this post. Path tracing is a specific type of ray tracing that aims to make photo realistic images by solving something called the rendering equation. Path tracing relies heavily on a method called Monte Carlo integration to get... | ||
