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Deep Matrix Factorization Based on Convolutional Neural Networks for Image Inpainting
In this work, we formulate the image in-painting as a matrix completion problem. Traditional matrix completion methods are generally based on linear models, assuming that the matrix is low rank. When the original matrix is large scale and the observed elements are few, they will easily lead to over-...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9602103/ https://www.ncbi.nlm.nih.gov/pubmed/37420520 http://dx.doi.org/10.3390/e24101500 |