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---
license: cc-by-4.0
pipeline_tag: image-to-image
tags:
- pytorch
- super-resolution
---
[Link to Github Release](https://github.com/Phhofm/models/releases/tag/4xNomos8kHAT-L_bokeh_jpg)
# 4xNomos8kHAT-L_bokeh_jpg
Name: 4xNomos8kHAT-L_bokeh_jpg
Author: Philip Hofmann
Release: 05.10.2023
License: CC BY 4.0
Network: HAT
Scale: 4
Purpose: 4x photo upscaler (handles bokeh effect and jpg compression)
Iterations: 145000
epoch: 66
batch_size: 4
HR_size: 128
Dataset: nomos8k
Number of train images: 8492
OTF Training: No
Pretrained_Model_G: HAT-L_SRx4_ImageNet-pretrain
Description:
4x photo upscaler, made to specifically handle bokeh effect and jpg compression. Basically a HAT-L variant of the already released 4xNomosUniDAT_bokeh_jpg model, but specifically trained for photos on the nomos8k dataset (and hopefully without the smoothing effect).
The three strengths of this model (design purpose):
Specifically for photos / photography
Handles bokeh effect
Handles jpg compression
This model will not attempt to:
Denoise
Deblur |