| 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/4xSSDIRDAT) | |
| # 4xSSDIRDAT | |
| Name: 4xSSDIRDAT | |
| Author: Philip Hofmann | |
| Release: 10.09.2023 | |
| License: CC BY 4.0 | |
| Network: DAT | |
| Scale: 4 | |
| Purpose: 4x photo upscaler | |
| Iterations: 110000 | |
| epoch: 40 | |
| batch_size: 4 | |
| HR_size: 128 | |
| Dataset: SSDIR_Sharp | |
| Number of train images: 10000 | |
| OTF Training: Yes | |
| Pretrained_Model_G: 4xFaceUpSharpDAT | |
| Description: 4x photo upscaler on the SSDIR_Sharp dataset, trained with otf for jpg, resize and small blur. (this might have trouble handling bokeh effect because of dataset, also should probably have used non-sharp version of dataset) | |
|  | |
|  | |