| | --- |
| | 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) |
| |
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| | # 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) |
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