In this article, you’ll learn how to train an autoencoding Neural Network to compress and denoise motion capture data and display it inside Maya Autoencoders are at the heart of some raytracer denoising and image upscaling (aka. super-resolution) technologies. Despite the pompous name, an autoencoder is just a Neural Network …
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.
