RGB2AO: Ambient Occlusion Generation from RGB Images
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Date
2020
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association and John Wiley & Sons Ltd.
Abstract
We present RGB2AO, a novel task to generate ambient occlusion (AO) from a single RGB image instead of screen space buffers such as depth and normal. RGB2AO produces a new image filter that creates a non-directional shading effect that darkens enclosed and sheltered areas. RGB2AO aims to enhance two 2D image editing applications: image composition and geometryaware contrast enhancement. We first collect a synthetic dataset consisting of pairs of RGB images and AO maps. Subsequently, we propose a model for RGB2AO by supervised learning of a convolutional neural network (CNN), considering 3D geometry of the input image. Experimental results quantitatively and qualitatively demonstrate the effectiveness of our model.
Description
@article{10.1111:cgf.13943,
journal = {Computer Graphics Forum},
title = {{RGB2AO: Ambient Occlusion Generation from RGB Images}},
author = {Inoue, Naoto and Ito, Daichi and Hold-Geoffroy, Yannick and Mai, Long and Price, Brian and Yamasaki, Toshihiko},
year = {2020},
publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
ISSN = {1467-8659},
DOI = {10.1111/cgf.13943}
}