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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/4xLSDIRCompact2) |
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# 4xLSDIRCompact2 |
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Name: 4xLSDIRCompact2 |
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Author: Philip Hofmann |
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Release Date: 25.03.2023 |
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License: CC BY 4.0 |
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Model Architecture: SRVGGNetCompact |
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Scale: 4 |
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Purpose: 4x fast photo upscaler |
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Iterations: CompactC 205’000 & CompactR 150’000 |
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batch_size: Variable(1-10) |
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HR_size: 256 |
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Dataset: LSDIR |
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Dataset_size: 84991 |
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OTF Training No |
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Pretrained_Model_G: 4x_Compact_Pretrain.pth |
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Description: 4xLSDIRCompactv2 supersedes the previously released models, it combines all my progress on my compact model. Both CompactC and CompactR had received around 8 hours more training since release with batch size 10 (CompactR had only been up to 5 on release), and these two were then interpolated together. This allows v2 to handle some degradations, while preserving the details of the CompactC model. Examples: https://imgsli.com/MTY0Njgz/0/2 |
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