VIBE (Video Inference for Human Body Pose and Shape Estimation) is an official implementation of a CVPR 2020 research paper that estimates 3D human pose and SMPL body shape from video sequences. The method uses a sequence model combined with a discriminator to produce temporally consistent pose and shape estimates. It is built on PyTorch and includes training, evaluation, and demo scripts.