Implementation for the paper "PatchNR: Learning from Very Few Images by Patch Normalizing Flow Regularization". (Q668): Difference between revisions
From MaRDI portal
Created a new Item |
Changed label, description and/or aliases in en, and other parts |
||
| description / en | description / en | ||
Software published at Zenodo repository | Software published at Zenodo repository. | ||
| Property / description | |||
Implementation for the paper "PatchNR: Learning from Very Few Images by Patch Normalizing Flow Regularization" available athttps://doi.org/10.1088/1361-6420/acce5e (open access). The repository contains an implementation of patchNRs. It contains scripts for reproducing the numerical example CT imaging in Section 4.1 and Superresolution in Section 4.2. | |||
| Property / description: Implementation for the paper "PatchNR: Learning from Very Few Images by Patch Normalizing Flow Regularization" available athttps://doi.org/10.1088/1361-6420/acce5e (open access). The repository contains an implementation of patchNRs. It contains scripts for reproducing the numerical example CT imaging in Section 4.1 and Superresolution in Section 4.2. / rank | |||
Normal rank | |||
| Property / MaRDI profile type | |||
| Property / MaRDI profile type: MaRDI software profile / rank | |||
Normal rank | |||
Latest revision as of 09:14, 20 February 2025
Software published at Zenodo repository.
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Implementation for the paper "PatchNR: Learning from Very Few Images by Patch Normalizing Flow Regularization". |
Software published at Zenodo repository. |
Statements
22 February 2024
0 references
Implementation for the paper "PatchNR: Learning from Very Few Images by Patch Normalizing Flow Regularization" available athttps://doi.org/10.1088/1361-6420/acce5e (open access). The repository contains an implementation of patchNRs. It contains scripts for reproducing the numerical example CT imaging in Section 4.1 and Superresolution in Section 4.2.
0 references
