An Imperial Soldier vacuuming on the beach? Twitter viralizes these videos with AI

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an imperial soldier vacuuming on the beach? twitter viralizes these
an imperial soldier vacuuming on the beach? twitter viralizes these

videos AI star wars vacuuming beach

Artificial intelligence technology has advanced to a level where it is possible to create realistic videos that defy human perception. An innovative tool is capable of generating videos with impressive visual quality, even with fictional characters such as a star wars imperial trooper vacuuming on the beach. Don’t miss the videos that have gone viral on Twitter.

This tool is the work of NVIDIA, and uses state-of-the-art artificial intelligence techniques to generate high-quality, realistic images and videos. Unlike other tools that simply generate static images, this one allows for the creation of realistic videos from descriptive text.

Twitter User Image

Carlos Santana

@DotCSV

🔴 AI GENERATED VIDEO!

Does it make sense to vacuum the beach? Well no, but still the new work from NVIDIA is capable of generating it, being a new step towards text-to-video AIs with increasingly better quality 🔥

Here are some examples 🧵 https://t.co/9pl2miFdrJ

April 19, 2023 • 09:13


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This technology is based on the generation of adversarial neural networks, which use two neural networks to generate a realistic image or video. One network generates the image and the other evaluates its realism. The generator network receives as input a descriptive text of the object or scene to be created and uses that information to generate a video sequence that looks like what is described.

The result is impressive, since you can create realistic videos of objects or situations that never existed in the real world before. For example, you can generate a video of a Star Wars imperial soldier vacuuming up the sand on the beach, or a teddy bear strolling through the city center.

Twitter User Image

Carlos Santana

@DotCSV

https://t.co/lNl9WfMIaK

April 19, 2023 • 09:14


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An interesting example of how this tool can be used is that of a Star Wars imperial trooper mounted on a bicycle. In this case, a video could be generated from a text description of this object, which would include details such as the appearance of the soldier, the design of the bicycle, and the environment in which they move. The tool would take this description and create an animated video simulating the Imperial soldier’s movement as he rides his bike through a landscape. As the video plays, image details would be generated by the tool’s algorithm to create a consistent and realistic viewing experience.

For it to have an optimal level of realism, it would be important that the textual description include accurate and realistic detailsDiscuss the physics of the stormtrooper’s movement on a bicycle, as well as the environment in which he moves. For example, the tool would need to account for wind, gravity, air resistance, and terrain topography to generate a realistic motion animation.

Twitter User Image

Carlos Santana

@DotCSV

https://t.co/JXLuBo9tTU

April 19, 2023 • 09:15


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Influence on the future

This breakthrough is a big step towards AIs of text-to-video increasingly realistic, which means that in the future we could see a wide range of practical applications for this technology. From creating animations and movies, to simulating situations for military training or medical emergencies, the ability to generate realistic video from descriptive text could revolutionize many industries.

Obviously, the level of realism of the generation of videos by means of artificial intelligence, can vary according to the amount of movement to be included in the image. When this technology is used to create visuals of objects or situations with little movement, such as a still image of a landscape, the end result tends to be much more realistic and detailed. This is because the neural network models used in these tools are better at static detail creation than in motion simulation.

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On the other hand, when dealing with videos of objects or situations with a lot of movement, such as a video of a person dancing or a fight, the level of realism may decrease. This is because movement generation is an even bigger challenge for artificial intelligence models, as it requires a deeper understanding of the physics of movement and human anatomy.

It is important to note that advances in this technology are happening at a rapid pace. It is expected that new techniques and algorithms will be developed in the future to overcome these limitations and produce even more impressive and realistic results.

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