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Multiresolution Neural Networks for Imaging

2022-08-25 00:57:13
Hallison Paz, Tiago Novello, Vinicius Silva, Luiz Schirmer, Guilherme Schardong, Luiz Velho
arXiv_CV
     
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 and minification, and antialiasing.

Abstract (translated)

URL

https://arxiv.org/abs/2208.11813

PDF

https://arxiv.org/pdf/2208.11813.pdf

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