【苹果与UCSB合作开源创新图片编辑框架MGIE，引领AI图像编辑新纪元】
近日，科技巨头苹果公司与美国加利福尼亚大学圣芭芭拉分校（UCSB）的研究团队共同发布了一项重大创新——MGIE（MLLM-Guided Image Editing）图片编辑框架，该框架将多模态大模型MLLM应用于图像编辑领域，有望解决指令引导不足的难题。这一开源项目标志着人工智能在图像编辑技术上的又一重大突破。
MLLM，即多模态大模型，通过深度学习技术，能够理解和生成简洁明了的编辑指令，为用户提供清晰的视觉引导。在MGIE框架下，扩散模型通过端到端的训练同步更新，利用潜在目标的想象力来执行精确的图像编辑任务。这意味着，用户只需提供简单的指令，AI就能理解并执行复杂的图像修改，如实现Photoshop级别的效果，进行全局照片优化，甚至精细到局部对象的修改。
这一开源项目的发布，不仅将极大地提升图像编辑的效率和精度，也为开发者和设计师提供了更广阔的创新空间。MGIE的出现，预示着人工智能在图像处理领域的应用将更加广泛和深入，同时也为未来的多媒体内容创作提供了新的可能。随着MGIE的开源，我们期待看到更多的开发者和研究者参与到这一领域的探索，共同推动AI技术在图像编辑领域的边界不断拓展。
英语如下：
**News Title:** “Apple and UCSB Join Forces for Open-Source Innovation: The MGIE Framework,开创AI-Powered Photoshop-Level Image Editing Era”
**Keywords:** Apple UCSB collaboration, MGIE framework, image editing
**News Content:**
**Apple and UCSB Collaborate on Open-Source MGIE Framework, Revolutionizing AI-Driven Image Editing**
Recently, tech giant Apple and the research team from the University of California, Santa Barbara (UCSB) jointly unveiled a groundbreaking innovation – the MGLM-Guided Image Editing (MGIE) framework. This framework applies the Multi-Modal Large Language Model (MLLM) to image editing, addressing the challenge of insufficient directive guidance. The open-source project signifies another major breakthrough in artificial intelligence within the realm of image editing.
MLLM, leveraging deep learning, enables the understanding and generation of concise editing instructions, offering users clear visual guidance. Under the MGIE framework, diffusion models are end-to-end trained and simultaneously updated, employing the model’s imagination of the latent target to execute precise image editing tasks. Consequently, users can now provide simple instructions, and AI will comprehend and execute complex image modifications akin to Photoshop-level effects, from overall photo optimization to intricate alterations of local objects.
The release of this open-source project promises to significantly enhance the efficiency and accuracy of image editing while offering broader creative opportunities for developers and designers. The emergence of MGIE signals a more extensive and in-depth application of AI in image processing, paving the way for novel possibilities in multimedia content creation. With the framework now open-source, we anticipate increased participation from developers and researchers in exploring this domain, collectively pushing the boundaries of AI technology in image editing.
【来源】https://www.jiqizhixin.com/articles/2024-02-05-10
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