Sharing is caring!

This tool, built on multimodal large language models (MLLMs), understands text prompts and performs pixel-level edits. Experiments and evaluations showcase its ability to improve standard image editing metrics while remaining computationally efficient. MGIE offers diverse editing capabilities, from basic cropping and filtering to advanced object manipulation and background replacement. It can optimize images globally or focus on specific regions. While not currently available as an app, developers can access the open-source code and experiment with a live demo. This flexible tool represents a significant advancement in image editing and paves the way for further exploration of MLLMs' potential in cross-modal communication.

Visit
Find us on AI Scores

Sharing is caring!