Within this experiment a generic open-source model for generating code was created to avoid the repetitiveness of writing unit tests manually. This makes this use case ideal for automation. In the first example two methods for generating unit tests are presented. We will provide one full example and write down the name of the second method that we expect you to supplemented.

Over the past year, we’ve noticed a number of recent innovations around speech synthesis and conversational AI. So far, the state of the art in this area is not yet at the point where it can be realistically applied immediately in a game or VFX pipeline. That said, innovation never stops, and new techniques and interesting innovations emerge regularly within this field. In this blog post we bundle these for you.

Although Motion Capture is now the international standard for animations of humanoid characters, it is often too expensive for smaller companies. We regularly hear smaller companies in the game development industry ask the question: couldn’t we just do MOCAP with a camera or webcam, using AI? The images we have already seen of AI that recognizes people on video images look promising. On top of that, a skeleton is recognized that matches the location and pose of the people in the image. Within this overview we look at the state of the art of MOCAP systems that only use a webcam or video camera. We discuss how much potential for improvement there is and whether it is worth it for you.

Automatic rotoscoping could speed up a very labor-intensive part of a production. It is therefore interesting to look at where people are so far in research into algorithms that can make this happen. In this blog we look at 4 different, recent techniques and programs that strive for (semi-)automatic rotoscoping.

To date, creating a rig for a model and assigning the correct blending weights has been a manual process. This rig is required to further animate your model, and is therefore a crucial step in the animation pipeline. In this overview we look at whether it is possible to automate this phase, which would be a big step forward in accelerating the animation pipeline.

In this blog post we give a brief introduction to Reinforcement Learning (RL) and look at a number of applications within the gaming world. The goal is to stimulate your ideas, and also to demonstrate that you don’t have to be an AI expert to get started with these technologies. We look forward to questions or ideas arising from this blog post and are happy to take all input into account in preparation for the planned workshops.