Artificial Intelligence Animation: The Future and The Combat

Artificial Intelligence Animation is a new touch of modern technology in the Animation industry. AI animation can collect data and information from various sources, understand different patterns, and design a combination accordingly. This helps them to form new and automated results similar to those created by humans.

It may sound shocking to you as to how a computer can look at differences and similarities of several images, and create a unique piece of art with it.

Well, AI is already creating its image here. The Midas Creature tool from Startup Midas Touch automates the process of animating 2D characters.

The designers used to give instructions to the automated engine and the software interprets the character to make it function. So, let’s dive into various ways by which Artificial Intelligence-driven animation can be proved extremely beneficial in the future.

Influence of AI on Animation

When the technology receives a request from the user, it uses an algorithm to determine the correct animation to take the scenes into account.

The design of this ‘neural network’ portrays a natural-looking human movement in video games. Also, it is applicable to other disciplines as well.

AI, Creativity, and Animation in a Perfect Basket

As Machine Learning is the heart of Artificial Intelligence you might have to fight so that they can form a strong bond with the emotional and empathetic humans.

Speaking about art, illusion, and animation, people are generally taken away by the creator reasoning or rumination instead of the artifact itself.

For a certain time period, AI will continue as an informer and collaborator. AI is a technology which improves certain processes leaving artistic craft to human effort and generally affects the animation.

One such renowned example is depicted in the AVATAR movie. In that movie, they captured human emotions through their actions and then used the machine to keyframe that animation into their VFX characters.

So, all in all, instead of having huge manpower to animation, the studio mostly will spend their time on those machines in the near future.

3D Animation

3D animation is a lengthy and costly method that requires plenty of time and different preparation stages. Animations initially produce exactly engraved 3D meshes for skin weight, deformation & rigging.

After that, anatomy is being sketched and parameters for movement are determined. This is accomplished by a process called rigging. Rigging is considered to be the toughest part of the animator’s job and it is performed with creativity.

21st-century 3D animations are no longer a mixture of geometrical figures but a realistic character created with preciseness. It is difficult to distinguish between real and animated characters.

Animation and it’s Future with AI

In the future, Artificial Intelligence Animation will create tools and robots that can dominate the animation industry. Actually, there are many jobs that require manual input and thus there is a huge requirement for efficient and skilled trainers.

They will train deep learning algorithms to do daily tasks like producing a computerized character to look like a real human. This would also help the artists to spend less time on the labor-based frame alteration method.

AI is automating animation tasks in such a way that the animators don’t need to draw each and every detail. The AI-based high-quality algorithms are capable of automating the delivering of advanced visual effects. Here I have listed three ways by which AI has been helpful:

  • Access to GPU

AI software needs a lot of processors to run at the same time in a perfect manner to group GPU’s togetherly. Thus, enabling to fill AI software because of its affordability and accessibility.

  •  Big Data

For better performance, a huge amount of memory space and education is required. This will also help them to perform like a human brain.

  • Algorithms

For the AI to react faster, you need to stack the neuro nets into layers. For example, to identify a face, the neuro nets has to find the facial attributes so that they can understand the face easily.

Ending Note

In recent years, you must have noted a fast evolution of deep learning, Artificial Intelligence tools, and devices so that they can widen the modern perspective of animation at a lurking level.

With the help of this post, I hope you got a clear idea about the growth of animation in the future by an application of AI. AI has positively jolted animation & motion graphics. It has made the task of animator much easier as compared to before. Researchers now use deep learning algorithms to acquire a larger amount of data to translate it into AI.

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