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Geometry image super-resolution with AnisoCBConvNet architecture for efficient cloth modeling
We propose an anisotropic constrained-boundary convolutional neural networks (hereafter, AnisoCBConvNet) that can stably express high-quality meshes without oscillation by applying super-resolution operations to low-resolution cloth meshes. As a training set for the neural network, we use a pair bet...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9401171/ https://www.ncbi.nlm.nih.gov/pubmed/36001551 http://dx.doi.org/10.1371/journal.pone.0272433 |