@News
2x-AnimeSharpV3
Scale: 2
Architecture: ESRGAN
Links: Github Release
Author: Kim2091
License: CC BY-NC-SA 4.0
Purpose: Anime
Subject:
Input Type: Images
Date: 10-24-24
Size:
I/O Channels: 3(RGB)->3(RGB)
Dataset: ModernAnimation1080_v3
Dataset Size: 2-3k
OTF (on the fly augmentations): No
Pretrained Model: 4xESRGAN
Iterations: 140k
Batch Size: 8
GT Size: 64-128
Description: I gave up on having multiple architectures. This release is ESRGAN only, and provides superior quality compared to AnimeSharpV2 in nearly every scenario. It has most of the advantages of the old V2 Sharp models, while not having issues with depth of field.
Comparisons: https://slow.pics/c/A2BRSa0U
