![]() ![]() In fact, the de-noising of more obscured MoCap data is becoming more widely used within the industry, with it being used to create Thanos in Avengers: Infinity War. This opens up the possibility for faster and easier designs of characters, alongside a more efficient way to clean-up analog-style noise-all based on what the model learned about the way the human body moves. Using the concept, the research team discovered that AI models could learn from any number of reference materials they’ve been given, including more limited sources like YouTube videos. This particular branch of machine learning focuses on training AI models to learn from past experiences and aims to diminish the intense use of equipment. However, research coming out of the University of California explores the application of deep reinforcement learning as a way to capture motion data. This is one of the main reasons there has been a shift over to markerless motion capture technology, with it even making an appearance in more high profile films like The Irishman and its use of deepfake technology.Īnd even though this was a successful use of the technique, it required heavy-duty camera set-ups and laborious work from the VFX team. Plus, these higher resolution capture techniques and sophisticated processing algorithms are likely to increase the quality of work being produced and the predictability of output.Īs mentioned previously, while motion capture remains one of the more popular sources of motion data, it typically requires a vast amount of equipment. Not only could it allow for more dynamic methods of motion capture, but also a reduction in the amount of equipment that is needed to do so. While the work of these companies is still in development, the possibilities they present for the VFX industry are monumental. But for blockbusters or TV shows, this merely scratches the surface of what might be possible in the future. Now, of course, for more amateur content, this brings promises of realistic motion and animation creation. What’s more, the team is also making headway with the use of cloud in the motion capture sphere.īy sending in and uploading a video of a person to their cloud system, RADiCAL can send back a motion-captured animation of the movements in the video. However, their focus is on detecting and reconstructing 3D human motion from 2D content, all without the use of the conventional MoCap suits and hardware. RADiCAL is another company using machine learning and AI to improve motion capture. ![]() ![]() They also further enable more interactive character creation and the expansion of pipelines of animation and other simulation data. Together, these two strands of tech aim to solve the problems that can occur when using MoCap-like the extensive equipment which is often needed-instead advocating the use of markerless motion capture, allowing for intelligent and realistic animations. One of the companies pioneering this use of machine learning, along with artificial intelligence, is DeepMotion. Where previously MoCap involved more tedious tasks, like artists painting out head rigs, the use of machine learning promises to make the process more efficient and whilst it’s a relatively new concept, there are a number of VFX companies turning to machine learning and uncovering its possibilities. ![]() With this in mind, it becomes easier to see why machine learning techniques are being applied to motion capture. The technique has proved itself to solve the more difficult problems of the VFX industry, helping artists to achieve results they couldn’t before in a faster and more effective way. But now, thanks to machine learning, this process may be set to change.Īs we have touched on before, machine learning teaches computer systems to make decisions from large datasets. For years, the technique has seen actors suiting up in professional spandex and painting dots on their faces, all to capture their expressions and movements so they can live on through their animated counterparts. The use of Motion Capture (MoCap) is no anomaly in the world of VFX. ![]()
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