nipponjo/deepfillv2-pytorch

🖼️🎨 A PyTorch reimplementation of the paper Free-Form Image Inpainting with Gated Convolution (DeepFill v2) (https://arxiv.org/abs/1806.03589)

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This project helps graphic designers, photographers, or marketers seamlessly remove unwanted objects or fill damaged areas in images. You provide an image with a masked region (indicating what to remove), and it outputs a new image with that region intelligently filled in, making the removal appear natural. This is ideal for anyone needing to clean up or restore visual content.

215 stars. No commits in the last 6 months.

Use this if you need to erase distracting elements, repair old photos, or complete partial images, and want a sophisticated tool to intelligently reconstruct the missing parts.

Not ideal if you need simple photo cropping, color correction, or only basic, geometric shape removal without complex content synthesis.

photo-editing image-restoration graphic-design visual-content-creation digital-art
No License Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 21 / 25

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Stars

215

Forks

45

Language

Python

License

Category

image-inpainting

Last pushed

Aug 30, 2025

Commits (30d)

0

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