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A Deep Learning Approach to No-Reference Image Quality Assessment For Monte Carlo Rendered Images
(The Eurographics Association, 2018)
In Full-Reference Image Quality Assessment (FR-IQA) images are compared with ground truth images that are known to be of high visual quality. These metrics are utilized in order to rank algorithms under test on their image ...
Segmenting Teeth from Volumetric CT Data with a Hierarchical CNN-based Approach
(The Eurographics Association, 2018)
This paper addresses the automatic segmentation of teeth in volumetric Computed Tomography (CT) scans of the human skull. Our approach is based on a convolutional neural network employing 3D volumetric convolutions. To ...
Image Inpainting for High-Resolution Textures using CNN Texture Synthesis
(The Eurographics Association, 2018)
Deep neural networks have been successfully applied to problems such as image segmentation, image super-resolution, coloration and image inpainting. In this work we propose the use of convolutional neural networks (CNN) ...