Browsing VMV2021 by Subject "Mixed / augmented reality"
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SuBloNet: Sparse Super Block Networks for Large Scale Volumetric Fusion
(The Eurographics Association, 2021)Training and inference of convolutional neural networks (CNNs) on truncated signed distance fields (TSDFs) is a challenging task. Large parts of the scene are usually empty, which makes dense implementations inefficient ...