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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/2xHFA2kAVCCompact)
# 2xHFA2kAVCCompact
Name: 2xHFA2kAVCCompact
Author: Philip Hofmann
Release Date: 18.06.2023
License: CC BY 4.0
Network: SRVGGNet
Scale: 2
Purpose: Fast 2x anime upscaling model that handles AVC (h264) degradation
Iterations: 111,000
batch_size: 4
HR_size: 256
Dataset: HFA2k_h264
Number of train images: 2568
OTF Training: No
Pretrained_Model_G: None
Description: A 2x Compact anime upscale model that handles AVC (h264) degradation. Applied h264 crf 20-28 degradation together with bicubic, bilinear, box and lanczos downsampling on the HFA2k dataset with Kim's dataset destroyer.
![image](https://github.com/Phhofm/models/assets/14755670/7cd72469-4631-4f20-b5af-227692b1879a)
![324388155-7cd72469-4631-4f20-b5af-227692b1879a](https://github.com/Phhofm/models/assets/14755670/d641c8b4-6061-4131-9aeb-7bac0f49e1d1)
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