Project Title

lama — Resolution-robust Large Mask Inpainting with Fourier Convolutions

Overview

LaMa is an advanced image inpainting tool that uses Fourier Convolutions to fill in large missing areas in images. It is capable of generalizing well to higher resolutions than it was trained on, making it a robust solution for various image editing tasks. LaMa stands out for its ability to handle challenging scenarios, such as the completion of periodic structures, with excellent performance.

Key Features

Resolution-robust inpainting capable of handling large mask areas
Generalization to higher resolutions beyond training data
Effective in challenging scenarios like periodic structure completion
Open-source and community-driven development

Use Cases

Use case 1: Professional photographers and graphic designers can use LaMa to remove unwanted objects from images without losing quality.
Use case 2: Content creators can utilize LaMa for video editing, filling in missing areas in frames to create seamless visuals.
Use case 3: Researchers in computer vision can leverage LaMa for experiments involving image completion and inpainting.

Advantages

Advantage 1: LaMa's ability to generalize to higher resolutions makes it versatile for various image sizes.
Advantage 2: The project's open-source nature allows for community contributions, leading to continuous improvement and feature expansion.

Limitations / Considerations

Limitation 1: As an AI-based tool, LaMa's performance may be affected by the quality and nature of the training data.
Limitation 2: The computational requirements for running LaMa might be较高 for some users, especially for high-resolution images.

Project 1: Inpaint Anything - A related project that focuses on segment anything meets image inpainting. It differs in its approach to segmenting and inpainting.
Project 2: Feature Refinement to Improve High Resolution Image Inpainting - This project improves upon LaMa's capabilities for high-resolution images, offering an alternative approach to feature refinement.
Project 3: cleanup.pictures - A simple interactive object removal tool that utilizes LaMa's technology, providing a user-friendly interface for non-technical users.

Basic Information

GitHub: https://github.com/advimman/lama
Stars: 9,263
License: Unknown
Last Commit: 2025-10-01

📊 Project Information

Project Name: lama
GitHub URL: https://github.com/advimman/lama
Programming Language: Jupyter Notebook
⭐ Stars: 9,263
🍴 Forks: 979
📅 Created: 2021-08-30
🔄 Last Updated: 2025-10-01

🏷️ Project Topics

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lama

Project Description