Google’s New AI Watched 30,000,000 Videos!

Introduction

Dear fellow scholars, prepare to be amazed as we dive into the phenomenal advancements in AI research. This is Two Minute Papers with Dr. Karoly Zsolnai-Feher. Today, we'll explore an extraordinary new AI developed by Google that has watched 30 million videos and can generate 1-megapixel videos of up to 5 seconds. Let’s break down what this new AI is capable of and the fascinating applications it offers.

1. Text to Video

One of the standout features is the ability to convert text prompts directly into videos. Whether you describe a surfing teddy bear, mouthwatering sushi, or quirky muffins, this tool can create them with remarkable fidelity and creativity.

2. Image to Video

This AI can perform near miracles, such as animating famous paintings like the "Girl With a Pearl Earring." Curious about what it would look like if she smiled? This tool can show you, adding a whole new dimension to static images.

3. Stylized Generation

Reminiscent of style transfer but significantly more powerful, this AI allows you to combine a single style image with a text prompt to create videos. Imagine a dancing bear with a unique artistic flair—this AI makes that a reality.

4. Video Stylization or Editing

You can also use this technology to edit or stylize existing videos. Input a video and a text prompt, and you can transform it dramatically. Whether you're doing a dance, and it translates your moves into that of a robot or teddy bear, the creative possibilities are endless.

5. Cinemagraphs

Cinemagraphs are partially animated images. This AI enables you to choose a specific region to animate while the rest of the image stays static, adding a touch of magic to still photos.

6. Inpainting

Inpainting traditionally involves filling in gaps in images, but with this AI, it extends to video. Whether you want to restore lost parts of a video or creatively alter existing ones, this tool can handle it.

How It Works

The AI generates videos at an initial resolution of 128x128 pixels and then upscales them to 1024x1024. This two-step process is akin to an artist sketching an outline before filling in the fine details. What’s more impressive is that in head-to-head comparisons with previous techniques, this new method won overwhelmingly, as preferred by test subjects.

Technical Improvements

The magic behind this wizardry includes multi-diffusion techniques that reduce awkward jumps during video creation, making the scenes more cohesive and fluid. With fewer moving parts than older methods, this new AI is simpler yet more effective.

Future Potential

As this technology becomes publicly available, the potential for unleashing creativity is immense. From artistic experiments to practical applications in education and entertainment, the sky’s the limit.

For those on the cutting edge, Lambda now offers the best prices for GPU Cloud compute, essential for running these kinds of complex AI models. Their offerings include on-demand H100 instances and persistent storage.

Keywords

• AI research
• Google AI
• Text to video
• Image animation
• Style transfer
• Video editing
• Cinemagraphs
• Inpainting
• Multi-diffusion techniques
• Lambda Cloud compute

FAQs

What can Google's new AI do?

Google's new AI can convert text to videos, animate images, stylize and edit videos, create cinemagraphs, and perform inpainting to fill video gaps or alter existing footage.

How does the AI work?

The AI first generates low-resolution videos (128x128) and then upscales them to higher resolutions (1024x1024) using multi-diffusion techniques to ensure smoother transitions and cohesive scenes.

What are some potential applications of this AI?

The AI can be used in artistic projects, education, entertainment, and more. It enables unique creative possibilities such as animating famous artworks, transforming existing videos, and creating cinemagraphs.

How does it compare to previous techniques?

In a head-to-head comparison, this new AI technique was overwhelmingly preferred over previous methods, showing significant improvements in video quality and creativity.

Where can one get the computational power to run such AI models?

Lambda offers cost-effective, on-demand GPU Cloud compute services, including the latest H100 instances, making it accessible for researchers and developers to run these complex AI models.