Meta has unveiled its latest breakthrough in generative AI research, Meta Movie Gen, which enables users to produce custom videos and sounds using simple text inputs. This technology allows for editing existing videos, transforming personal images into unique videos, and more. According to human evaluations, Movie Gen outperforms similar models in the industry across these tasks. This innovation is part of Meta’s long track record of sharing fundamental AI research with the community, building on previous work such as the Make-A-Scene series and Llama Image foundation models.
The company hopes that this technology will help people express themselves in new ways and provide opportunities to those who may not have had them before. With its four capabilities – video generation, personalized video generation, precise video editing, and audio generation – Movie Gen has the potential to revolutionize content creation for filmmakers, creators, and individuals alike.
Meta Movie Gen: A Breakthrough in AI-Enabled Content Creation
The advent of generative AI research has opened up new avenues for content creators, enabling them to produce high-quality videos, sounds, and images with unprecedented ease. Meta Movie Gen, a breakthrough generative AI research for media, is poised to revolutionize the creative landscape by providing users with simple text inputs to generate custom videos and sounds, edit existing videos, and transform personal images into unique videos.
This innovative technology builds upon Meta’s long-standing commitment to sharing fundamental AI research with the community. The Make-A-Scene series of models enabled the creation of image, audio, video, and 3D animation, while the Llama Image foundation models facilitated higher-quality generation of images and video, as well as image editing. Movie Gen represents the third wave of generative AI work, combining all these modalities to provide users with fine-grained control over their creative outputs.
Behind the Curtain: The Capabilities of Meta Movie Gen
Meta Movie Gen boasts four primary capabilities: video generation, personalized video generation, precise video editing, and audio generation. These models have been trained on a combination of licensed and publicly available datasets, enabling them to perform tasks with unprecedented precision and quality.
Video generation, for instance, leverages a joint model optimized for both text-to-image and text-to-video to create high-quality and high-definition images and videos. This 30B parameter transformer model can generate videos of up to 16 seconds at a rate of 16 frames per second, demonstrating an ability to reason about object motion, subject-object interactions, and camera motion.
Personalized video generation expands upon this foundation model by supporting the creation of videos that contain a reference person and rich visual details informed by the text prompt. The model achieves state-of-the-art results in creating personalized videos that preserve human identity and motion.
Precise video editing combines video generation with advanced image editing, executing tasks with precision to generate the desired output. This capability enables localized edits like adding, removing, or replacing elements, as well as global changes such as background or style modifications, all while preserving the original content.
Audio generation, meanwhile, involves training a 13B parameter audio generation model that can take a video and optional text prompts to generate high-quality and high-fidelity audio up to 45 seconds. This includes ambient sound, sound effects (Foley), and instrumental background music—all synced to the video content.
Results: A New Frontier in Content Creation
The technical innovations underlying Meta Movie Gen have pushed the boundaries of architecture, training objectives, data recipes, evaluation protocols, and inference optimizations. Human evaluation comparisons across the four capabilities demonstrate a significant preference for the results generated by Meta’s models compared to competing industry models.
While the current models have limitations, such as optimization opportunities to decrease inference time and improve quality, the potential applications of this technology are vast and varied. By collaborating with filmmakers and creators, Meta aims to ensure that these tools enhance inherent creativity in new and innovative ways.
The possibilities offered by Meta Movie Gen are endless, from animating a “day in the life” video for social media platforms to creating customized animated birthday greetings for friends and family. As creativity and self-expression take center stage, the future of content creation looks brighter than ever.
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