Published February 22, 2024
| Version v1.0
Software
Open
Implementation for the paper "PatchNR: Learning from Very Few Images by Patch Normalizing Flow Regularization".
Authors/Creators
Contributors
Description
Implementation for the paper "PatchNR: Learning from Very Few Images by Patch Normalizing Flow Regularization" available at https://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.
Files
FabianAltekrueger/patchNR-v1.0.zip
Files
(53.9 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:3126f19b08d2e587aad7f14a447f02ba
|
53.9 MB | Preview Download |
Additional details
Related works
- Is identical to
- Software: https://github.com/FabianAltekrueger/patchNR/tree/v1.0 (URL)
- Is part of
- Other: AA5-6 (Other)
- Is supplement to
- Publication: 10.1137/22M1496542 (DOI)
Software
- Repository URL
- https://github.com/FabianAltekrueger/patchNR
- Programming language
- Python