Phips/4xRealWebPhoto_v4_dat2

By Phips · ↓ 0 · ♥ 20 · Updated 2024-10-08

What's in this repo

This page lists the files in Phips/4xRealWebPhoto_v4_dat2, including 4xRealWebPhoto_v4_fp32_opset17.onnx.

1 ONNX models (.onnx files)
6 files, including 1 .pdf, 1 .pth, 1 .safetensors, 1 .onnx, 1 .md
Repository size ~316 MB
Last updated 2024-10-08

ONNX files

File	Size	Download
4xRealWebPhoto_v4_fp32_opset17.onnx	46.5 MB	Download

How to use

These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.

README

4xRealWebPhoto_v4_dat2

Scale: 4
Architecture: DAT

Author: Philip Hofmann
License: CC-BY-4.0
Purpose: Compression Removal, Deblur, Denoise, JPEG, WEBP, Restoration
Subject: Photography
Input Type: Images
Date: 04.04.2024

Architecture Option: DAT-2
I/O Channels: 3(RGB)->3(RGB)

Dataset: Nomos8k
Dataset Size: 8492
OTF (on the fly augmentations): No
Pretrained Model: DAT_2_x4
Iterations: 243'000
Batch Size: 4-6
GT Size: 128-256

Description: 4x Upscaling Model for Photos from the Web. The dataset consists of only downscaled photos (to handle good quality), downscaled and compressed photos (uploaded to the web and compressed by service provider), and downscale, compressed, rescaled, recompressed photos (downloaded from the web and re-uploaded to the web).

Applied lens blur, realistic noise with my ludvae200 model, JPG and WEBP compression (40-95), and down_up, linear, cubic_mitchell, lanczos, gaussian and box downsampling algorithms. For details on the degradation process, check out the pdf with its explanations and visualizations.

This is basically a dat2 version of my previous 4xRealWebPhoto_v3_atd model, but trained with a bit stronger noise values, and also a single image per variant so drastically reduced training dataset size.

Showcase: 12 Slowpics Examples Example1 Example2 Example3 Example4 Example5 Example6 Example7 Example8 Example9 Example10 Example11 Example12