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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/4xNomosUni_rgt_multijpg) |
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# 4xNomosUni_rgt_multijpg |
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Name: 4xNomosUni_rgt_multijpg |
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License: CC BY 4.0 |
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Author: Philip Hofmann |
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Network: RGT |
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Scale: 4 |
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Release Date: 20.02.2024 |
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Purpose: 4x universal DoF preserving upscaler |
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Iterations: 100'000 |
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epoch: 79 |
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batch_size: 12 |
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HR_size: 128 |
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Dataset: nomosuni |
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Number of train images: 2989 |
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OTF Training: No |
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Pretrained_Model_G: RGT_x4 |
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Description: |
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4x universal DoF preserving upscaler, pair trained with jpg degradation (down to 40) and multiscale (down_up, bicubic, bilinear, box, nearest, lanczos) in neosr with adamw, unet and pixel, perceptual, gan and color losses. |
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Similiar to the 4xNomosUni_rgt_s_multijpg model I released, with same dataset, this is a full RGT model in comparison. |
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6 Examples (To check JPG compression handling see Example Nr.4, to check Depth of Field handlin see Example Nr.1 & Nr.6): |
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[Slowpics](https://slow.pics/s/iMuE3vE5) |
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