Morning friends! What’s the latest scoop on using ML training to help with ray-traced GI? Or, more generally, any neat advances in ray tracing that benefit from deep learning? Have you hooked together lower sampling and filtering using an ML upscaling 2D filter?
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Hi Wex,
welcome to the developer forums - and welcome to the AMA, your question has been queued up for the team !
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Thanks for the question - there’s been quite a lot of work in the machine learning space to assist with real-time (and not real-time) graphics. For ray traced global illumination, check out a paper recently published by Muller et al called Real-time Neural Radiance Caching for Path Tracing. Their approach trains a neural network to learn the light transport characteristics of a scene and then builds a light cache that can be queried at a lower cost than tracing the full paths.
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