4xRealWebPhoto_v4_drct-l
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4xRealWebPhoto_v4_drct-l
Scale: 4
Architecture: DRCT
Architecture Option: DRCT-L
Author: Philip Hofmann
License: CC-BY-0.4
Purpose: Restoration
Subject: Realistic, Photography
Input Type: Images
Release Date: 02.05.2024
Dataset: 4xRealWebPhoto_v4
Dataset Size: 8492
OTF (on the fly augmentations): No
Pretrained Model: 4xmssim_drct-l_pretrain
Iterations: 260'000
Batch Size: 6,4
GT Size: 128,192
Description: The first real-world drct model, so I am releasing it, or at least my try at it, maybe others will be able to get better results than me, I think I'd recommend my 4xRealWebPhoto_v3_atd model over this one if a real-world model for upscaling photos downloaded from the web is desired.
This model is based on my previously released drct pretrain. Used mixup, cutmix, resizemix augmentations, and mssim, perceptual, gan, dists, ldl, focalfrequency, gradvar, color and luma losses.
Showcase: Slow.pics
Training details (7)
- Date
- 2024-05-02
- Dataset
- 4xRealWebPhoto_v4
- Dataset size
- 8492
- Training iterations
- 260000
- Training batch size
- 4
- Training HR size
- 192
- Training OTF
- No