Full Dynamic Range Sky-Modelling For Image Based Lighting
Ian J. Maquignaz

TL;DR
Icarus is a novel sky-model that learns full dynamic range outdoor imagery, enabling highly accurate, photorealistic environment maps with user-controlled atmospheric features for improved image-based lighting.
Contribution
The paper introduces Icarus, a sky-model capable of learning and generating full dynamic range environment maps with user-controlled features, surpassing previous models in accuracy and realism.
Findings
Icarus achieves superior photorealism in scene illumination.
It accurately models the solar region at high resolutions.
The model allows intuitive user control over atmospheric features.
Abstract
Accurate environment maps are a key component to modelling real-world outdoor scenes. They enable captivating visual arts, immersive virtual reality and a wide range of scientific and engineering applications. To alleviate the burden of physical-capture, physically-simulation and volumetric rendering, sky-models have been proposed as fast, flexible, and cost-saving alternatives. In recent years, sky-models have been extended through deep learning to be more comprehensive and inclusive of cloud formations, but recent work has demonstrated these models fall short in faithfully recreating accurate and photorealistic natural skies. Particularly at higher resolutions, DNN sky-models struggle to accurately model the 14EV+ class-imbalanced solar region, resulting in poor visual quality and scenes illuminated with skewed light transmission, shadows and tones. In this work, we propose Icarus, an…
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Taxonomy
TopicsComputer Graphics and Visualization Techniques · Image Enhancement Techniques · Advanced Vision and Imaging
