NVIDIA's Kaolin: A 3D Deep Learning Library - Analytics India Magazine

Unlike 2D data, 3D data is complex with more parameters and features. Collecting 3D data and transforming it from one representation to another is a tedious process. Thus 3D deep learning is more time consuming and error-prone than 2D Computer Vision. Though there are nicely-performing models, datasets, metrics, graphics tools, and visualization tools published in recent years, integrating different approaches is quite a non-trivial job for researchers and practitioners. In this scenario, NVIDIA introduced a PyTorch-based library named Kaolin and has recently released its latest optimized version.