“Deep Appearance Prefiltering” by Bako, Sen and Kaplanyan

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    Deep Appearance Prefiltering

Session/Category Title: Neural Light Transport


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Abstract:


    We propose the first comprehensive multi-scale, level-of-detail framework for prefiltering 3D environments with complex geometry and materials using a novel neural representation that encodes appearance data into a compact latent form. Our approach compares favorably to state-of-the-art methods and achieves considerable savings in memory for complex scenes.


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