| license: cc-by-4.0 | |
| pipeline_tag: image-to-image | |
| tags: | |
| - pytorch | |
| - super-resolution | |
| [Link to Github Release](https://github.com/Phhofm/models/releases/tag/4xLSDIRCompact3) | |
| # 4xLSDIRCompactC3 | |
| **Name:** 4xLSDIRCompactC3 | |
| **Author:** Philip Hofmann | |
| **Release Date:** 11.04.2023 | |
| **License:** CC BY 4.0 | |
| **Model Architecture:** SRVGGNetCompact | |
| **Scale:** 4 | |
| **Purpose:** Upscale compressed photos to x4 their size | |
| **Iterations:** 230’000 | |
| **batch_size:** Variable(1-20) | |
| **HR_size:** 256 | |
| **Dataset:** LSDIR | |
| **Dataset_size:** 8000-84991 hr& lr | |
| **OTF Training** No | |
| **Pretrained_Model_G:** 4xLSDIRCompact | |
| **Description:** Able to handle JPG compression (30-100). | |
| **Total Training Time:** 33+ hours | |
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