jinyeying/DeS3_Deshadow

[AAAI'2024] DeS3: Adaptive Attention-driven Self and Soft Shadow Removal using ViT Similarity. First diffusion-based shadow removal performs robustly on hard, soft and self shadows. https://arxiv.org/abs/2211.08089

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Experimental

This project helps anyone working with digital images to remove unwanted shadows, whether they are sharp, soft, or cast by the object itself. You provide an image with shadows, and it outputs a version of the image where those shadows have been removed or significantly reduced. This is useful for photographers, graphic designers, or anyone needing clean, shadow-free imagery.

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Use this if you need to automatically and robustly remove various types of shadows from digital photographs or images to improve their clarity and appearance.

Not ideal if you require real-time shadow removal for live video feeds or if you need to preserve the exact artistic intent of shadows in an image.

image-editing photo-retouching digital-photography graphic-design image-restoration
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 8 / 25
Community 10 / 25

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24

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3

Language

Python

License

Last pushed

Aug 18, 2024

Commits (30d)

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