| 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/4xLSDIRCompact2) | |
| # 4xLSDIRCompact2 | |
| Name: 4xLSDIRCompact2 | |
| Author: Philip Hofmann | |
| Release Date: 25.03.2023 | |
| License: CC BY 4.0 | |
| Model Architecture: SRVGGNetCompact | |
| Scale: 4 | |
| Purpose: 4x fast photo upscaler | |
| Iterations: CompactC 205’000 & CompactR 150’000 | |
| batch_size: Variable(1-10) | |
| HR_size: 256 | |
| Dataset: LSDIR | |
| Dataset_size: 84991 | |
| OTF Training No | |
| Pretrained_Model_G: 4x_Compact_Pretrain.pth | |
| Description: 4xLSDIRCompactv2 supersedes the previously released models, it combines all my progress on my compact model. Both CompactC and CompactR had received around 8 hours more training since release with batch size 10 (CompactR had only been up to 5 on release), and these two were then interpolated together. This allows v2 to handle some degradations, while preserving the details of the CompactC model. Examples: https://imgsli.com/MTY0Njgz/0/2 | |
|  | |