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Sky Modeling and Efficient Sampling

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The sky is one of the most common light sources in realistic image synthesis. When using the sky as a light source, there are two separate challenges. The first is how to model the sky radiance, and the second is how to efficiently use the sky as a light source to light a synthetic environment. This talk will discuss potential solutions to these challenges: a fast and accurate approximation approach for estimating sky radiance based on machine learning, and a method for efficient and unbiased importance sampling for lighting with Monte Carlo ray tracing

This talk is part of the Rainbow Group Seminars series.

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