Emu Edit
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About
Emu Edit is a state-of-the-art model for instruction-based image editing, designed to tackle a wide array of tasks including region-based and free-form editing as well as advanced computer vision tasks such as detection and segmentation. Developed by Meta, it leverages multi-task learning with learned task embeddings to enhance its editing capabilities, allowing it to adapt efficiently to new tasks under limited data conditions. The model has been benchmarked against various editing tasks and shows significant performance improvements in image editing precision.
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Task
Features
• robust performance across various tasks
• learned task embeddings
• few-shot adaptation
• generative editing tasks
• multi-task learning
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