metadata

title: MAXIM Multi-Axis MLP for Image Processing
emoji: 🖼️
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 4.44.0
app_file: app.py
pinned: false
license: apache-2.0

MAXIM: Multi-Axis MLP for Image Processing

This Hugging Face Space demonstrates the MAXIM model for various image processing tasks.

About MAXIM

MAXIM is a Multi-Axis MLP architecture for image processing that achieves state-of-the-art results on multiple tasks:

Image Enhancement: Photo retouching and low-light enhancement
Image Denoising: Removing noise from images
Image Deblurring: Removing motion blur and defocus blur
Image Deraining: Removing rain streaks and raindrops
Image Dehazing: Removing haze and fog

Model Performance

MAXIM achieves excellent results across different benchmarks:

Task	Dataset	PSNR	SSIM
Denoising	SIDD	39.96	0.960
Deblurring	GoPro	32.86	0.961
Deraining	Rain13k	33.24	0.933
Dehazing	RESIDE-Indoor	38.11	0.991
Enhancement	LOL	23.43	0.863
Enhancement	FiveK	26.15	0.945

Usage

Upload an image using the interface
Select the desired image processing task
Click "Process Image" to see the results

The model will automatically download the required checkpoints for the selected task.

Citation

If you use this model in your research, please cite:

@article{tu2022maxim,
  title={MAXIM: Multi-Axis MLP for Image Processing},
  author={Tu, Zhengzhong and Talebi, Hossein and Zhang, Han and Yang, Feng and Milanfar, Peyman and Bovik, Alan and Li, Yinxiao},
  journal={CVPR},
  year={2022},
}

License

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.

Spaces:

NightRaven109
/

GoogleMaxim

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