TensorFlow Graphics: Computer Graphics Meets Deep Learning

Introducing TensorFlow Graphics: Computer Graphics Meets Deep Learning
Posted by Julien Valentin and Sofien Bouaziz
Github repository: last few years have seen a rise in novel differentiable graphics layers which can be inserted in neural network architectures. At a high level, a computer graphics pipeline requires 3D objects and their absolute positioning in the scene, a description of the material they are made of, lights and a camera. TensorFlow Graphics comes with two 3D convolution layers, and one 3D pooling layer, allowing for instance the training of networks to perform semantic part classification on meshes as illustrated below and demonstrated in this Colab notebook.

Source: medium.com