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blog.demofox.org | ||
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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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jamie-wong.com
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| | | | | One of the techniques used in many demo scenes is called ray marching. This algorithm, used in combination with a special kind of function called | |
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www.jeremykun.com
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| | | | | Machine learning is broadly split into two camps, statistical learning and non-statistical learning. The latter we've started to get a good picture of on this blog; we approached Perceptrons, decision trees, and neural networks from a non-statistical perspective. And generally "statistical" learning is just that, a perspective. Data is phrased in terms of independent and dependent variables, and statistical techniques are leveraged against the data. In this post we'll focus on the simplest example of thi... | |
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blog.selfshadow.com
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| | | [AI summary] This text discusses advanced techniques for occlusion culling and visibility determination in computer graphics, particularly focusing on GPU and SPU implementations. It outlines methods such as hierarchical z-buffering, HZB (Hierarchical Z-Buffer) sampling, and frustum subdivision for efficient rendering of large environments. The text also touches on challenges like latency, hardware limitations, and future directions for visibility processing, including potential integration with next-generation hardware. | ||
