In the first installment of the SIGGRAPH Series, I have shown you how the FDDA model works. Now it is time for you to implement it yourself in Maya. 3D animated characters in feature films use sophisticated rigs with complex deformations that can be computationally intensive. The authors of the …
In my previous article, you learned how to run Neural Networks inside Maya. Now you’ll learn how to do so interactively implementing your network in a Python DG Node. What you’ll learn Anatomy of a Python DG Node Running a Neural Network model inside the DG node Optimizing performance and …
In this article, you will learn how to train a Neural Network. Then you will learn how to use that network inside Maya to classify elements of your scene.
Many Machine Learning libraries support a Python interface. Many DCC applications support Python. But you will often find that these DCC applications and software libraries don’t have binary compatibility. Here is how to solve this problem in Maya for Windows.
In short Neural Networks can learn patterns from data. That lets you program tasks that are easy for a person/expert to do but are hard for such people to explain how they’ve done it. Like, face recognition, for example. What good are they for 3D animation?
The acronym AI (Artificial Intelligence) seems to be everywhere. AI cars, AI automation, AI in the cloud, etc. Sometimes AI is conflated with other buzzwords like VR, AR, and so on. Is AI hype?
