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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/4xArtFaces_realplksr_dysample) |
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# 4xArtFaces_realplksr_dysample |
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Scale: 4 |
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Architecture: [RealPLKSR with Dysample](https://github.com/muslll/neosr/?tab=readme-ov-file#supported-archs) |
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Architecture Option: [realplksr](https://github.com/muslll/neosr/blob/master/neosr/archs/realplksr_arch.py) |
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Author: Philip Hofmann |
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License: CC-BY-0.4 |
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Purpose: Restoration |
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Subject: Art |
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Input Type: Images |
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Release Date: 08.08.2024 |
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Dataset: [ArtFaces](https://github.com/Phhofm/models/releases/tag/dataset_artfaces) |
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Dataset Size: 5'630 |
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OTF (on the fly augmentations): No |
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Pretrained Model: [4xNomos2_realplksr_dysample](https://github.com/Phhofm/models/releases/tag/4xNomos2_realplksr_dysample) |
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Iterations: 139'000 |
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Batch Size: 6 |
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Patch Size: 64 |
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Description: |
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A Dysample RealPLKSR 4x upscaling model for art / painted faces. |
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Based on my [ArtFaces Dataset](https://github.com/Phhofm/models/releases/tag/dataset_artfaces) which is a curated version of the [metfaces dataset](https://github.com/NVlabs/metfaces-dataset) for the purpose of training single image super resolution models. |
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Showcase: |
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