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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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- restoration |
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--- |
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[Link to Github Release](https://github.com/Phhofm/models/releases/tag/1xExposureCorrection_compact) |
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This model belongs to a series, together with ExposureCorrection and OverExposureCorrection |
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# 1xUnderExposureCorrection_compact |
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Name: 1xUnderExposureCorrection_compact |
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License: CC BY 4.0 |
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Author: Philip Hofmann |
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Release Date: 27.01.2024 |
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Network: [SRVGGNetCompact](https://github.com/XPixelGroup/BasicSR/blob/master/basicsr/archs/srvgg_arch.py) |
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Scale: 1 |
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Purpose: 1x exposure correction of underexposed photos |
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Iterations: 134'000 |
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epoch: 84 |
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batch_size: 12 |
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HR_size: 128 |
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Dataset: exposure_correction |
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Number of train images: 3534 |
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OTF Training: No |
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Pretrained_Model_G: 1x-Compact-Pretrain |
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Description: |
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This model is meant as an experiment to see if compact can be used to train on underexposed images to exposure correct those using the pixel, perceptual, color, color and ldl losses. There is no brightness loss. Still it seems to kinda work. |
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[3 SlowPic Examples](https://slow.pics/s/Lnh2zcuK) |
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