Link to Github Release

4xHFA2k_VCISR_GRLGAN_ep200

Name: 4xHFA2k_VCISR_GRLGAN_ep200
Release Date: 04.01.2024
Author: Philip Hofmann
License: CC BY 4.0
Network: GRL
Scale: 4
Purpose: 4x anime upscaler handling video compression artifacts, trained for 200 epochs
Iterations: 85959
epoch: 200
batch_size: 6
HR_size: 128
Dataset: hfa2k
Number of train images: 2568
OTF Training: Yes
Pretrained_Model_G: None

Description: 4x anime upscaler handling video compression artifacts since trained with otf degradations for "mpeg2video", "libxvid", "libx264", "libx265" with crf 20-32, mpeg bitrate 3800-5800 (together with the standard Real-ESRGAN otf pipeline). A faster arch using this otf degradation pipeline would be great for handling video compression artifacts. Since this one is a GRL model and therefore slow, as noted by the dev maybe more for research purposes (or more for single images/screenshots). Trained using VCISR for 200 epochs.

"This is epoch 200 and the start iteration is 85959 with learning rate 2.5e-05"

Slow Pics examples:
h264_crf28
ludvae1
ludvae2