Facebook Releases Open-Source Library For 3D Deep Learning: PyTorch3D

Rendering a simple shape into a proper object with geometry, texture, and other material properties is a painstakingly long process; however, with AI, researchers can now do this rendering ten times faster than the real-time. A machine learning model is trained on images that are closer to the target. When it is presented with a shape and matching properties, it would recommend a photorealistic image. This opened a whole new field altogether -- differentiable programming. Traditional rendering engines are not differentiable, so they can't be incorporated into deep learning pipelines.