arXiv · 2301.05262
Neural Shadow Mapping
Abstract
We present a neural extension of basic shadow mapping for fast, high quality hard and soft shadows. We compare favorably to fast pre-filtering shadow mapping, all while producing visual results on par with ray traced hard and soft shadows. We show that combining memory bandwidth-aware architecture specialization and careful temporal-window training leads to a fast, compact and easy-to-train neural shadowing method. Our technique is memory bandwidth conscious, eliminates the need for post-process temporal anti-aliasing or denoising, and supports scenes with dynamic view, emitters and geometry while remaining robust to unseen objects.
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Sayantan Datta, Derek Nowrouzezahrai, Christoph Schied, Zhao Dong. 2023-01-12. Neural Shadow Mapping. https://doi.org/10.1145/3528233.3530700
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