Revolutionary Image Editing and Video Creation Software Utilizes Meta’s EMU Model
Meta has recently expanded its Expressive Media Universe (EMU) technology with two new tools that focus on image editing and video generation. Initially introduced at the Connect event in September, EMU technology included a tool for creating stickers to be used in messaging applications.
The first tool, EMU edit, is a generative AI technology that allows for precise image editing from text instructions. It modifies pixels in input images based on text instructions, without affecting the entire image. The tool also incorporates computer vision tasks as instructions for image generation models, which improves precision and control in the editing process.
The second tool, EMU video, facilitates the generation of videos from a text description through a unified architecture that responds to different types of inputs. It uses diffusion models to generate videos, providing an efficient process for video generation tasks.
With these new tools, Meta is taking significant strides forward in image editing and video generation, enhancing the capabilities of its founding content generation model, EMU. These tools offer advanced features for precise and controlled editing as well as efficient video generation from text descriptions.
Meta’s Expressive Media Universe (EMU) technology was initially introduced at the Connect event in September with a tool for creating ‘stickers’ to be used in messaging applications. Recently, two new tools have been added to this technology – EMU edit and EMU video – focusing on image editing and video generation respectively.
EMU edit is a generative AI technology that allows for precise image editing from text instructions. It uses text instructions to modify pixels in input images without affecting the entire image. Additionally, it incorporates computer vision tasks as instructions for image generation models, improving precision and control in the editing process.
EMU video facilitates the generation of videos from a text description through a unified architecture that responds to different types of inputs. The tool uses diffusion models to generate videos efficiently.
With these new tools, Meta is enhancing its founding content generation model, EMU’s capabilities by offering advanced features for precise and controlled editing as well as efficient video generation from text descriptions.
Meta has recently expanded its Expressive Media Universe (EMU) technology with two new tools – EMU edit and EMU video – focused on image editing and video