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Brushedit
Overview :
BrushEdit is an advanced, unified AI agent for image restoration and editing. It combines multimodal large language models (MLLMs) and image restoration models to achieve automated, user-friendly, and interactive free-form instruction editing. The system employs MLLMs and a dual-branch image restoration framework to perform editing category classification, primary object recognition, mask generation, and area restoration. Extensive experiments show that this framework effectively integrates MLLMs and restoration models, achieving superior performance across seven key metrics, including mask area retention and editing effect consistency.
Target Users :
Target audience includes image editing professionals, designers, and casual users interested in image restoration and editing. BrushEdit offers automated and interactive editing features that allow users to easily repair and edit images without needing in-depth knowledge of complex image processing techniques, making it suitable for quickly adding or removing image content.
Use Cases
A user wants to remove unwanted background characters from a photo.
A designer needs to replace an object in the image while keeping the background unchanged.
A content creator wishes to add new elements to the images, such as virtual animals in a landscape.
Features
Editing category classification: Identify the required editing type.
Primary object recognition: Detect the main objects to be edited.
Editing mask and target title generation: Produce editing masks along with the relevant target titles.
Image restoration: Execute the actual image editing process.
Utilizing pretrained MLLMs and detection models: Determine the editing type, target objects, editing masks, and target titles.
Employing the enhanced BrushNet dual-branch restoration model: Repair the target area based on target titles and editing masks, leveraging the generative potential of the restoration model and its ability to preserve backgrounds.
How to Use
1. Visit the BrushEdit website to understand its basic features.
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2. Upload the image file you wish to edit.
3. Select the desired editing category, such as removal, addition, or background editing.
4. The system will automatically identify the primary editing objects and generate the editing mask.
5. Input specific editing instructions, such as 'remove the red car from the image.'
6. Preview the editing results and make adjustments as necessary.
7. Once satisfied with the edits, download or directly use the edited image.
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