2xHFA2kShallowESRGAN
Name: 2xHFA2kShallowESRGAN
Author: Philip Hofmann
Release Date: 04.01.2024
License: CC BY 4.0
Network: Shallow ESRGAN (6 Blocks)
Scale: 2
Purpose: 2x anime upscaler
Iterations: 180'000
epoch: 167
batch_size: 12
HR_size: 128
Dataset: hfa2k
Number of train images: 2568
OTF Training: Yes
Pretrained_Model_G: None
Description:
2x shallow esrgan version of the HFA2kCompact model.
This model should be usable with FAST_Anime_VSR using TensorRT for fast inference, as should my 2xHFA2kReal-CUGAN model.