Pose Transfer

Pose Transfer is a technology in the field of computer vision that aims to transfer the posture of a person from a source image to a target image, achieving precise adjustments to the pose of the person in the target image. This technology uses deep learning models to capture and analyze the key points of the pose in the source image and map them to corresponding positions in the target image, thereby generating high-quality images with new poses. Pose Transfer has significant application value in areas such as virtual try-on, animation production, and video editing, enhancing the efficiency and effectiveness of image processing.