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- ---
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- license: cc-by-4.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+
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+ [Link to Github Release](https://github.com/Phhofm/models/releases/tag/4xNomosWebPhoto_atd)
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+
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+ # 4xNomosWebPhoto_atd
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+
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+ Scale: 4
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+ Architecture: [ATD](https://github.com/LabShuHangGU/Adaptive-Token-Dictionary)
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+ Architecture Option: atd
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+
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+
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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: 07.06.2024
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+
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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: 003_ATD_SRx4_finetune.pth
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+ Iterations: 460'000
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+ Batch Size: 6, 2
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+ GT Size: 128, 192
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+
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+ Description:
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+
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+ 4x ATD model for photography, trained with realistic noise, lens blur, jpg and webp re-compression.
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+ 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.
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+
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+ Showcase:
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+ [Slow Pics 18 Examples](https://slow.pics/s/GkS39XYi)
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+
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+ ![Example1](https://github.com/Phhofm/models/assets/14755670/a9e22515-45e4-4434-93fb-db06c6b5c566)
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+ ![Example2](https://github.com/Phhofm/models/assets/14755670/02ea487d-4d80-43a4-8bb0-b6b85ba0c54f)
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+ ![Example3](https://github.com/Phhofm/models/assets/14755670/4753620c-a8a8-4107-9430-2389ed84dafe)
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+ ![Example4](https://github.com/Phhofm/models/assets/14755670/211d2954-d8be-461d-a80d-21624ef20e49)
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+ ![Example6](https://github.com/Phhofm/models/assets/14755670/ba69ffb8-eba5-4c6a-90bd-f9d661c2a95f)
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+ ![Example8](https://github.com/Phhofm/models/assets/14755670/5a710a4e-fa47-4c82-bd70-66847e75d47d)
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+ ![Example9](https://github.com/Phhofm/models/assets/14755670/6e2fa521-b5a1-4f19-b1e9-d0e9652b4fbb)
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+ ![Example10](https://github.com/Phhofm/models/assets/14755670/6f6416f4-4c9c-489d-805a-c203da2cec6f)
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+ ![Example11](https://github.com/Phhofm/models/assets/14755670/7b81c4ed-85a8-4c3e-9701-dfaac8e3832a)
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+ ![Example13](https://github.com/Phhofm/models/assets/14755670/8454d7fc-8817-4096-800c-efae61beee6b)
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+ ![Example16](https://github.com/Phhofm/models/assets/14755670/3c8095db-eb92-4f7f-9151-0f3a75aae3a0)
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+ ![Example18](https://github.com/Phhofm/models/assets/14755670/4a1e0fb8-c39b-46ce-aaf7-9c3c11712642)