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Aerogen
AeroGen is the first model that supports both horizontal and rotated bounding box conditional generation, capable of generating high-quality synthetic images that meet specific layout and object category requirements.
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Release Time : 11/29/2024
Model Overview
AeroGen is a diffusion-driven text-to-image generation model focused on remote sensing image generation, supporting conditional generation of specific object layouts and categories.
Model Features
Dual bounding box support
Supports both horizontal and rotated bounding box conditional generation
Layout control
Capable of generating high-quality images that meet specific object layout requirements
Category control
Supports conditional generation of specified object categories
Model Capabilities
Remote sensing image generation
Conditional image synthesis
Object layout control
Use Cases
Remote sensing analysis
Object detection data augmentation
Generate synthetic remote sensing images to augment the training data of object detection models
Improve the performance of object detection models in real scenarios
Geographic Information System
Virtual scene generation
Create virtual remote sensing scenes with specific layouts for GIS system testing
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