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---
license: cc-by-4.0
pipeline_tag: image-to-image
tags:
- pytorch
- super-resolution
---
[Link to Github Release](https://github.com/Phhofm/models/releases/tag/2xHFA2kAVCOmniSR)
# 2xHFA2kAVCOmniSR
Name: 2xHFA2kAVCOmniSR
Author: Philip Hofmann
Release Date: 18.06.2023
License: CC BY 4.0
Network: OmniSR
Scale: 2
Purpose: 2x anime upscaling model that handles AVC (h264) compression
Iterations: 175,000
batch_size: 2-5
HR_size: 128-192
Dataset: HFA2k_h264
Number of train images: 2568
OTF Training: No
Pretrained_Model_G: None
Description: The second released community trained model on the OmniSR network. Trained with multiscale discriminator to fix decreased output brightness occuring with OmniSR. 2x anime upscale that handles AVC (h264) compression since h264 crf 20-28 degradation together with bicubic, bilinear, box and lanczos downsampling has been applied on the HFA2k dataset with Kim's dataset destroyer.
Examples:
https://imgsli.com/MTg2ODcz
https://imgsli.com/MTg2ODc1
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