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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/4xNomosUniDAT2_box) |
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# 4xNomosUniDAT2_box |
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Name: 4xNomosUniDAT2_box |
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Author: Philip Hofmann |
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Release Date: 10.09.2023 |
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License: CC BY 4.0 |
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Network: DAT |
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Scale: 4 |
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Purpose: 4x general purpose upscaler for non-degraded content |
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Iterations: 110000 |
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epoch: 7 |
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batch_size: 4 |
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HR_size: 128 |
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Dataset: nomos_uni |
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Number of train images: 2989 |
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OTF Training: No |
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Pretrained_Model_G: DAT_2_x4 |
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Description: 4x general purpose upscaler for non-degraded content. Has been trained as paired dataset on box downsamples as a DAT2 model, AdamW with pixel, perceptual, gan, color, ldl and ff loss. (am currently training a version of this that could handle jpg compression with multiple downsample algorithms and down_up) |
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