| | --- |
| | 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/4xNomosWebPhoto_atd) |
| |
|
| | # 4xNomosWebPhoto_atd |
| | |
| | Scale: 4 |
| | Architecture: [ATD](https://github.com/LabShuHangGU/Adaptive-Token-Dictionary) |
| | Architecture Option: atd |
| | |
| | |
| | Author: Philip Hofmann |
| | License: CC-BY-0.4 |
| | Purpose: Restoration |
| | Subject: Photography |
| | Input Type: Images |
| | Release Date: 07.06.2024 |
| | |
| | Dataset: Nomos-v2 |
| | Dataset Size: 6000 |
| | OTF (on the fly augmentations): No |
| | Pretrained Model: 003_ATD_SRx4_finetune.pth |
| | Iterations: 460'000 |
| | Batch Size: 6, 2 |
| | GT Size: 128, 192 |
| |
|
| | Description: |
| |
|
| | 4x ATD model for photography, trained with realistic noise, lens blur, jpg and webp re-compression. |
| | ATD version of [4xNomosWebPhoto_RealPLKSR](https://github.com/Phhofm/models/releases/tag/4xNomosWebPhoto_RealPLKSR), trained on the same dataset and in the same way. For more information look into the [4xNomosWebPhoto_RealPLKSR](https://github.com/Phhofm/models/releases/tag/4xNomosWebPhoto_RealPLKSR) release, and the pdf file in its attachments. |
| |
|
| | Showcase: |
| | [Slow Pics 18 Examples](https://slow.pics/s/GkS39XYi) |
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