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Shortly after the launch of Apple Vision Pro, a futuristic AR/VR headset that garnered attention for its unique ability to make wearers look like tunnel-visioned blockheads, Apple, in collaboration with UC Santa Barbara, quietly released MLLM-Guided Image Editing (MGIE), a new AI that lets one edit images using text prompts.
Powered by multimodal large language models (MLLMs), the framework recognizes the objects depicted in the image and enables the user to tweak the picture, add or remove objects, change lighting, apply effects, and edit smaller details. Developers claim that MGIE can significantly improve automatic metrics and human evaluation while maintaining competitive inference efficiency.
"MGIE learns to derive expressive instructions and provides explicit guidance," commented the team. "The editing model jointly captures this visual imagination and performs manipulation through end-to-end training. We evaluate various aspects of Photoshop-style modification, global photo optimization, and local editing. Extensive experimental results demonstrate that expressive instructions are crucial to instruction-based image editing, and our MGIE can lead to a notable improvement in automatic metrics and human evaluation while maintaining competitive inference efficiency."
You can learn more about MGIE here and try it out yourself over here. Also, don't forget to join our 80 Level Talent platform and our Telegram channel, follow us on Instagram, Twitter, and LinkedIn, where we share breakdowns, the latest news, awesome artworks, and more.
This project includes assets, maps, materials, Blueprints, and effects created in the Unreal Engine. Each asset was created for realistic AAA quality visuals, style, and budget.