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---
license: cc-by-4.0
pipeline_tag: image-to-image
tags:
- pytorch
- restoration
---
[Link to Github Release](https://github.com/Phhofm/models/releases/tag/1xExposureCorrection_compact)
This model belongs to a series, together with ExposureCorrection and OverExposureCorrection
# 1xUnderExposureCorrection_compact
Name: 1xUnderExposureCorrection_compact
License: CC BY 4.0
Author: Philip Hofmann
Release Date: 27.01.2024
Network: [SRVGGNetCompact](https://github.com/XPixelGroup/BasicSR/blob/master/basicsr/archs/srvgg_arch.py)
Scale: 1
Purpose: 1x exposure correction of underexposed photos
Iterations: 134'000
epoch: 84
batch_size: 12
HR_size: 128
Dataset: exposure_correction
Number of train images: 3534
OTF Training: No
Pretrained_Model_G: 1x-Compact-Pretrain
Description:
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.
[3 SlowPic Examples](https://slow.pics/s/Lnh2zcuK)
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