This repository implements the First Order Motion Model for Image Animation, a neural network approach published at NeurIPS. The model extracts motion from a driving video and applies it to a source image, producing animated sequences where the object from the source image is animated with the motion patterns from the driving video. It uses keypoint detection and dense motion estimation to handle complex deformations and has been trained on datasets including VoxCeleb, Fashion, and MGIF.