Video-Frame-Prediction
PublicIn this repository, we focus on video frame prediction the task of predicting future frames given a set of past frames. We present an Adversarial Spatio-Temporal Convolutional LSTM architecture to predict the future frames of the Moving MNIST Dataset. We evaluate the model on long-term future frame prediction and its performance of the model on out-of-domain inputs by providing sequences on which the model was not trained.
Related projects
Bringing Old Photos Back To Life
Bringing Old Photo Back to Life (CVPR 2020 oral)
Pix2pix
Image-to-image translation with conditional adversarial nets