| | --- |
| | 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) |
| |
|
| | # 4xLSDIRCompactN3 |
| |
|
| | **Name:** 4xLSDIRCompactN3 |
| | **Author:** Philip Hofmann |
| | **Release Date:** 11.04.2023 |
| | **License:** CC BY 4.0 |
| | **Model Architecture:** SRVGGNetCompact |
| | **Scale:** 4 |
| | **Purpose:** Upscale good quality input photos to x4 their size |
| | **Iterations:** 185'000 |
| | **batch_size:** Variable(1-10) |
| | **HR_size:** 256 |
| | **Dataset:** LSDIR |
| | **Dataset_size:** 84991 hr + 84991 lr |
| | **OTF Training** No |
| | **Pretrained_Model_G:** 4x_Compact_Pretrain.pth |
| | **Description:** The original 4xLSDIRCompact a bit more trained, cannot handle degradation |
| | **Total Training Time:** 32+ hours |
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