Text-to-video model
A text-to-video model is a machine learning model which takes as input a natural language description and produces a video matching that description.Video prediction on making objects realistic in a stable background is performed by using recurrent neural network for a sequence to sequence model with a connector convolutional neural network encoding and decoding each frame pixel by pixel,  creating video using deep learning.