| | --- |
| | 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/4xTextureDAT2_otf) |
| |
|
| | # 4xTextureDAT2_otf |
| | |
| | Name: 4xTextureDAT2_otf |
| | Author: Philip Hofmann |
| | Release: 13.12.2023 |
| | License: CC BY 4.0 |
| | Network: DAT |
| | Arch Option: DAT2 |
| | Scale: 4 |
| | Purpose: 4x texture image upscaler, handling jpg compression, some noise and slight blur |
| | Iterations: 125000 |
| | batch_size: 6 |
| | HR_size: 128 |
| | Dataset: GTAV_512_Dataset |
| | Number of train images: 30122 |
| | OTF Training: Yes |
| | Pretrained_Model_G: DAT_2_x4 |
| |
|
| | Description: 4x upscale texture images, trained with the Real-ESRGAN otf pipeline so handles jpg compression, some noise and slight blur |
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