🎬 Google Unveils VideoPoet: The Future of AI in Multimedia | AI Revolution 🤖✨ - video Dailymotion

Ai Revolution

Google has unveiled VideoPoet, its groundbreaking new AI that can generate and edit videos, images, and audio all in one! 🧠💡 This multimodal model is designed to revolutionize content creation, making it easier and faster for creators, marketers, and developers to produce high-quality multimedia using just text prompts. The future of AI-generated media is here! 🚀  #GoogleVideoPoet #AIRevolution #MultimediaAI #VideoAI #GenerativeAI #TechNews #FutureOfAI #GoogleAI #AICreativity #ContentCreation #AIContent #AIInnovation #VideoEditingAI #ArtificialIntelligence #TextToVideo #AIVideoTool #NextGenAI #MachineLearning #SmartTech #AITrends

Transcript

00:00So Google introduced a new AI tool that is absolutely mind-blowing.

00:04It's called VideoPoet, and it's an AI model specifically designed for video generation.

00:09It can create amazing videos from text, images, or even other videos.

00:13It can also do things like video stylization, video in-painting and out-painting, and video-to-audio conversion.

00:20So, VideoPoet is a large language model, similar to the ones used for text,

00:24but it's trained on a vast collection of videos, images, and audio clips.

00:28It operates using a technique known as autoregressive language modeling.

00:32This method works by generating content one piece at a time,

00:35with each new piece depending on the ones before it.

00:38For instance, given the word hello, an autoregressive language model predicts the next word, like world,

00:44based on how likely it is to follow hello.

00:46It continues this process, adding words one after another.

00:49In the case of VideoPoet, this process is applied to videos.

00:53It treats videos as sequences of tokens, similar to how text is treated,

00:57but instead of word tokens, it uses video, image, and audio tokens.

01:03These tokens are small elements of multimedia content.

01:06VideoPoet creates videos by generating these tokens sequentially,

01:09each informed by the previous ones, resulting in coherent and realistic videos.

01:14It can take various inputs such as text, images, or other videos,

01:18convert them into these multimedia tokens,

01:20and then produce a video by generating and assembling these tokens in a logical sequence.

01:25Now, the tool uses two state-of-the-art tokenizers for this purpose,

01:29MagVit, V2, and SoundStream.

01:32MagVit V2 uses convolutional neural networks and transformers,

01:36while SoundStream employs a recurrent neural network and a quantization module.

01:40These tokenizers efficiently handle complex multimedia content.

01:43So incorporating these into its architecture,

01:45VideoPoet converts any input like text, images, or videos into tokens.

01:49Then, its autoregressive language model generates new output tokens based on these inputs.

01:55Finally, the tool reassembles these tokens back into videos, images, or audio,

02:00using the inverse functions of MagVit, V2, and SoundStream,

02:04allowing it to create dynamic videos from various inputs.

02:08Now, this tool is actually capable of various tasks.

02:11For example, it can create videos from text.

02:14If you give it a sentence or a story, like a dog chasing a ball in the park,

02:18it will make a video showing exactly that, complete with realistic movements and sounds.

02:23It can also turn images into videos.

02:25Give it a photo or a drawing, such as a person smiling,

02:28and it will create a video of the person smiling naturally.

02:31Another cool thing VideoPoet does is video stylization.

02:34It can apply different artistic styles to a video.

02:37Say you have a cityscape video and you want it to look like a painting.

02:40It can do that, adding artistic effects.

02:42It's also good at video in-painting and out-painting,

02:46where it fills in or extends parts of a video.

02:48For example, if you have a video of someone walking against a green screen

02:52and want to change the background to a beach, it seamlessly blends it in.

02:56It can even turn videos into audio clips.

02:58If you have a video of someone talking, it can create a clear audio clip of their voice.

03:03What's really impressive is how VideoPoet handles complex motions in videos,

03:15making them up to 30 seconds long with smooth and realistic transitions.

03:20The videos are consistent, logical, and mostly free of errors.

03:23They can even be creative and unique without losing realism.

03:27The examples of videos created by this tool look professional and are quite astonishing.

03:31Seeing how good VideoPoet is at creating these videos,

03:34I'm sure you'll be as impressed as I am.

03:37Now, apart from its ability to generate videos,

03:39this tool has some cutting-edge features that enhance its capabilities.

03:43One key feature is zero-shot video generation.

03:46It can create videos from any input right away,

03:48without needing any specific training or adjustments for that particular task.

03:52This is possible because it's been trained on a huge variety of videos,

03:56images, and audio from many different areas and styles.

03:59Another feature is its multimodal generative learning objectives.

04:03So it can handle and create content that combines different forms like video, image, and audio.

04:09It achieves this through specific learning goals,

04:11designed to understand how these different types of content relate and interact with each other.

04:16For instance, it has a cross-modal objective that helps ensure the output matches the input across different forms.

04:22It also uses a self-attention objective,

04:25which helps create outputs that are both coherent and varied within the same form.

04:30These goals enable VideoPoet to learn and generate content that is not only diverse,

04:35but also rich in expression.

04:36Finally, VideoPoet can create longer videos up to 30 seconds,

04:40which is longer than what's typical for this kind of model.

04:43It does this using a hierarchical structure that breaks the video into segments,

04:47and works on each one individually while keeping the overall flow and quality consistent.

04:53It also has a memory mechanism that holds information from previous segments

04:56and uses it for generating subsequent ones.

04:59Now, in the real world, this tool has many uses.

05:02In digital art, it helps artists create unique and expressive animations,

05:06illustrations, and paintings.

05:08For film production, it's useful for editing, post-processing,

05:11and adding special effects,

05:13helping filmmakers enhance their storytelling.

05:15It also plays a role in interactive media,

05:18like games and virtual reality,

05:20where it can create responsive, adaptive, and immersive content.

05:24However, VideoPoet isn't without its challenges.

05:27It faces technical difficulties,

05:29especially in maintaining consistency in long videos

05:32and generating realistic motions.

05:34To overcome these, it uses a hierarchical architecture

05:37and a memory mechanism for temporal consistency

05:40and employs a universal tokenizer and language model for high-fidelity motions.

05:44Talking about what's next for VideoPoet and technologies like it is really interesting.

05:49It is already an advanced tool with a lot of promise for the future,

05:53but it could grow and get even better in several ways.

05:55Firstly, it could get even more data to learn from,

05:58including different types like text, speech, and music.

06:01Then, it could be doing more kinds of tasks across more fields.

06:04Right now, it can turn text or images into videos,

06:08add styles to videos, and even convert videos into audio.

06:12In the future, this tool might be able to take a long video

06:14and turn it into a shorter version that includes all the main points.

06:18And there's the creative side of things.

06:20VideoPoet can already make unique videos from inputs like text, pictures, or other videos.

06:26But if it starts using new methods like adversarial learning,

06:29reinforcement learning, or meta-learning,

06:31the videos it creates could be even more groundbreaking and captivating.

06:35So, what's your take on VideoPoet?

06:37Do you find it fascinating, a bit overwhelming, or perhaps even intimidating?

06:41Feel free to share your thoughts.

06:43If you liked learning about this,

06:45don't forget to subscribe and stay tuned for more exciting AI and tech updates.

06:49Thanks for tuning in and see you in the next one.

🎬 Google Unveils VideoPoet: The Future of AI in Multimedia | AI Revolution 🤖✨

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