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README.md
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license: cc-by-4.0
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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/4xNomosWebPhoto_esrgan)
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# 4xNomosWebPhoto_esrgan
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Scale: 4
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Architecture: [ESRGAN](https://github.com/xinntao/Real-ESRGAN)
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Architecture Option: esrgan
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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: Photography
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Input Type: Images
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Release Date: 16.06.2024
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Dataset: Nomos-v2
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Dataset Size: 6000
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OTF (on the fly augmentations): No
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Pretrained Model: RealESRGAN_x4plus
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Iterations: 210'000
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Batch Size: 12
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GT Size: 256
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Description:
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4x ESRGAN model for photography, trained with realistic noise, lens blur, jpg and webp re-compression.
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ESRGAN 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.
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Showcase:
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[Slow Pics 6 Examples](https://slow.pics/s/Tlfv2z0D?image-fit=cover)
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![Example1](https://github.com/Phhofm/models/assets/14755670/c2c465e3-50f8-4f5f-bfae-45eb864008d0)
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![Example2](https://github.com/Phhofm/models/assets/14755670/e8ad1deb-59c6-4e3b-aa75-7563cbc9982a)
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![Example3](https://github.com/Phhofm/models/assets/14755670/c24601d1-ab57-4f0b-ae5a-26bd7f76a560)
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