Asset2Vec: Turning 3D Objects into Vectors and Back

At Datagen, where I currently work as the Head of AI research, we create synthetic photorealistic images of common 3D environments, for the purpose of training computer vision algorithms. For example, if you want to teach a house robot to navigate through a messy bedroom like the one below, it will take you quite some time to collect real images for a large-enough training set [people don't usually like when outsiders enter their bedroom, and they definitely won't appreciate taking pictures of their mess]. We generated the above image using a graphic software. Once we build (in the software) the 3D models of the environment and everything in it, we use its ray-tracing renderer to generate an image of the scene from any camera view point we like, under any light conditions we want. Now if you think collecting real images is hard, wait till you try to label these images.