| 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/2xNomosUni_compact_multijpg) | |
| # 2xNomosUni_compact_multijpg | |
| Name: 2xNomosUni_compact_multijpg | |
| Author: Philip Hofmann | |
| Release Date: 13.12.2023 | |
| License: CC BY 4.0 | |
| Network: Compact (SRVGGNet) | |
| Scale: 2 | |
| Purpose: 2x fast universal upscaler | |
| Iterations: 30'000 | |
| epoch: 17 | |
| batch_size: 9 | |
| HR_size: 512 | |
| Dataset: nomosuni | |
| Number of train images: 2989 | |
| OTF Training: No | |
| Pretrained_Model_G: 2x-Compact-Pretrain | |
| Description: | |
| 2x compact fast universal upscaler pair trained with jpg degradation (down to 40) and multiscale (down_up, bicubic, bilinear, box, nearest, lanczos). | |
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