Apple Researchers Develop Text-Based Photo Editing Model

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Apple Researchers Develop Text-Based Photo Editing Model
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Apple researchers have collaborated with the University of California, Santa Barbara to create a new model that allows users to describe desired changes in a photo using plain language. The MGIE model, short for MLLM-Guided Image Editing, enables users to crop, resize, flip, and add filters to images through text prompts. It can handle both simple and complex editing tasks, such as modifying specific objects or enhancing brightness. The model combines the interpretation of user prompts with the generation of corresponding edits. Users can simply type out their desired changes to edit a photo with MGIE.

Apple researchers released a new model that lets users describe in plain language what they want to change in a photo without ever touching photo editing software. The MGIE model, which Apple worked on with the University of California, Santa Barbara , can crop, resize, flip, and add filters to images all through text prompts .

“Instead of brief but ambiguous guidance, MGIE derives explicit visual-aware intention and leads to reasonable image editing. We conduct extensive studies from various editing aspects and demonstrate that our MGIE effectively improves performance while maintaining competitive efficiency. We also believe the MLLM-guided framework can contribute to future vision-and-language research,” the researchers said in the paper.

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Apple Researchers Model Photo Editing Plain Language MGIE MLLM-Guided Image Editing University Of California Santa Barbara Crop Resize Flip Filters Text Prompts Interpretation Edits Brightness

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