|
--- |
|
license: cc-by-4.0 |
|
--- |
|
|
|
[Link to Github Release](https://github.com/Phhofm/models/releases/tag/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) |
|
|