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@Phhofm Phhofm released this 22 Mar 14:17
· 41 commits to main since this release
4xNomos8k_atd_jpg
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Learn about vigilant mode.

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

4xNomos8k_atd_jpg_example1
4xNomos8k_atd_jpg_example2
4xNomos8k_atd_jpg_example3
4xNomos8k_atd_jpg_example4

Assets 5
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