4xNomos8k_atd_jpg

Link to Github Release

Name: 4xNomos8k_atd_jpg
License: CC BY 4.0
Author: Philip Hofmann
Network: ATD
Scale: 4
Release Date: 22.03.2024
Purpose: 4x photo upscaler, handles jpg compression
Iterations: 240'000
epoch: 152
batch_size: 6, 3
HR_size: 128, 192
Dataset: nomos8k
Number of train images: 8492
OTF Training: Yes
Pretrained_Model_G: 003_ATD_SRx4_finetune

Description: 4x photo upscaler which handles jpg compression. This model will preserve noise. Trained on the very recently released (~2 weeks ago) Adaptive-Token-Dictionary network.

Training details: AdamW optimizer with U-Net SN discriminator and BFloat16. Degraded with otf jpg compression down to 40, re-compression down to 40, together with resizes and the blur kernels.
Losses: PixelLoss using CHC (Clipped Huber with Cosine Similarity Loss), PerceptualLoss using Huber, GANLoss, LDL using Huber, YCbCr Color Loss (bt601) and Luma Loss (CIE XYZ) on neosr.

7 Examples: Slowpics