Deep Convolutional Neural Network for Video Frame Interpolation.
Stanford CS231n Final Project
Our aim is to use a Convolutional Neural Network to turn two input frames, assumed to be sequential frames of a video, to generate a frame representing the state of the scene in between the two input frames. We plan to use adversarial networks to achieve good performance.