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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/2xHFA2kAVCCompact) |
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# 2xHFA2kAVCEDSR_M |
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Name: 2xHFA2kAVCEDSR_M |
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Author: Philip Hofmann |
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Release Date: 18.06.2023 |
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License: CC BY 4.0 |
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Network: EDSR M |
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Scale: 2 |
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Purpose: Fast 2x anime upscaling model that handles AVC (h264) degradation |
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Iterations: 186,000 |
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batch_size: 2-5 |
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HR_size: 384 |
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Epoch: 317 (require iter number per epoch: 1284) |
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Dataset: HFA2k_h264 |
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Number of train images: 2568 |
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OTF Training: No |
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Pretrained_Model_G: None |
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Description: A 2x EDSR M anime upscale model that handles AVC (h264) degradation. Applied h264 crf 20-28 degradation and bicubic, bilinear, box and lanczos downsampling on the HFA2k dataset with Kim's dataset destroyer. |
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