Deep Illumination: Approximating Dynamic Global Illumination with Generative Adversarial Network

• Published in: arXiv.org
• Main Authors: Manu Mathew Thomas, bes, Angus G
• Format: Paper
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 22.05.2018
• Subjects: Approximation; Artificial neural networks; Generative adversarial networks; Illumination; Machine learning; Mapping; Real time; Rendering; Three dimensional models

We present Deep Illumination, a novel machine learning technique for approximating global illumination (GI) in real-time applications using a Conditional Generative Adversarial Network. Our primary focus is on generating indirect illumination and soft shadows with offline rendering quality at intera...