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| 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/2xParimgCompact) |
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| # 2xParimgCompact |
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| Name: 2xParimgCompact |
| Author: Philip Hofmann |
| Release Date: 05.05.2023 |
| License: CC BY 4.0 |
| Model Architecture: SRVGG |
| Scale: 2 |
| Purpose: 2x Upscale photos based on [Microsoft's ImagePairs](https://www.microsoft.com/applied-sciences/projects/imagepairs) |
| Iterations: 100'000 |
| batch_size: 1-8 |
| HR_size: 256 |
| Dataset: Microsoft ImagePairs |
| Dataset_size: 2x 8'591 |
| OTF Training: No (PairedImageDataset) |
| Pretrained_Model_G: 2x_Compact_Pretrain.pth |
| |
| Description: A 2x photo upscaling compact model based on [Microsoft's ImagePairs](https://www.microsoft.com/applied-sciences/projects/imagepairs). This was one of the earliest models I started training and finished it now for release. As can be seen in the examples, this model will affect colors. |
| Examples: https://imgsli.com/MTc2MDI1 |
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