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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/4xLSDIRCompact2)
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+
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+ # 4xLSDIRCompact2
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+
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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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+
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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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+
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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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+
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+ ![Example1](https://github.com/Phhofm/models/assets/14755670/52b1a610-fdbd-4e0b-b4ce-0063242ed73b)