Type of Publication

Others

Date:

10 /

2022

Status

Published

DOI:

10.1109/SIBGRAPI55357.2022.9991765

Multiresolution Neural Networks for Imaging

Featured in:

35th SIBGRAPI Conference on Graphics, Patterns and Images, Natal, Brazil

Authors:

Hallison Paz, Tiago Novello, Viníncius da Silva, Guilherme Schardong, Fábio Chagas, Hélio Lopes and Luiz Velho

Abstract

We present MR-Net, a general architecture for multiresolution neural networks, and a framework for imaging applications based on this architecture. Our coordinate-based networks are continuous both in space and in scale as they are composed of multiple stages that progressively add finer details. Besides that, they are a compact and efficient representation. We show examples of multiresolution image representation and applications to texture magnification, minification, and antialiasing.

Citation
Hallison Paz, Tiago Novello, Viníncius da Silva, Guilherme Schardong, Fábio Chagas, Hélio Lopes and Luiz Velho (2022, October). Multiresolution neural networks for imaging. In 2022 35th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI) (Vol. 1, pp. 174-179). IEEE. DOI: 10.1109/SIBGRAPI55357.2022.9991765

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