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--- |
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license: cc-by-4.0 |
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pipeline_tag: image-to-image |
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tags: |
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- pytorch |
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- super-resolution |
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--- |
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[Link to Github Release](https://github.com/Phhofm/models/releases/tag/4xNomos2_hq_drct-l) |
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# 4xNomos2_hq_drct-l |
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Scale: 4 |
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Architecture: [DRCT](https://github.com/ming053l/DRCT) |
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Architecture Option: [drct_l](https://github.com/muslll/neosr/blob/dc4e3742132bae2c2aa8e8d16de3a9fcec6b1a74/neosr/archs/drct_arch.py#L937) |
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Author: Philip Hofmann |
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License: CC-BY-0.4 |
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Purpose: Upscaler |
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Subject: Photography |
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Input Type: Images |
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Release Date: 08.09.2024 |
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Dataset: [nomosv2](https://github.com/muslll/neosr/?tab=readme-ov-file#-datasets) |
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Dataset Size: 6000 |
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OTF (on the fly augmentations): No |
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Pretrained Model: DRCT-L_X4 |
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Iterations: 200'000 |
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Batch Size: 2 |
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Patch Size: 64 |
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Description: |
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An drct-l 4x upscaling model, similiar to the [4xNomos2_hq_atd](https://github.com/Phhofm/models/releases/tag/4xNomos2_hq_atd), [4xNomos2_hq_dat2](https://github.com/Phhofm/models/releases/tag/4xNomos2_hq_dat2) and [4xNomos2_hq_mosr](https://github.com/Phhofm/models/releases/tag/4xNomos2_hq_mosr) models, trained and for usage on non-degraded input to give good quality output. |
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## Model Showcase: |
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[Slowpics](https://slow.pics/c/1mODuuUS) |
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(Click on image for better view) |
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