Recently deep learning has revolutionized computer vision and other recognition problems. Everyday applications using such techniques are now commonplace with more advanced tasks being automated at a growing rate. During 2016, "image synthesis" techniques started to appear that used deep neural networks to apply style transfer algorithms for image restoration. We'll review some of these techniques and demonstrate their application in image magnification to enable "super resolution" tools. We'll also discuss recent discoveries by NVIDIA Research that uses approaches based on AI, machine learning, and deep learning to greatly improve the process of creating game-ready materials. Using these novel techniques, artists can use standard DSLR, or even cell-phone cameras, to create full, renderable materials in minutes. We'll conclude by showing how developers can integrate these methods into their existing art pipelines.