Edit model card

Link to Github Release

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

Example 1 Example 2 Example 3 Example 4 Example 5 Example 6 Example 7 Example 8 Example 9

Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Examples
Unable to determine this model's library. Check the docs .

Space using Phips/4xRealWebPhoto_v4_drct-l 1