Generating 3D Human Motion with Deep Learning | Skeleton Animation Using PyTorch & SMPL Model

In this video, I demonstrate how to generate 3D human motion using a deep learning model built with PyTorch. The program uses a pretrained generative model to create realistic human skeleton animations based on SMPL/SMPL-X structures. By providing a class label (representing an action), the network synthesizes complete 3D motion sequences for two virtual humans. This project combines latent-space sampling, Gaussian mixture modeling, and human-pose decoding to produce high-quality motion data. The result is a fully AI-generated 3D animation of human actions such as walking, running, dancing, or interaction between two people.