Design and Development of GAN Model for Video Frame Interpolation

Generative Adversarial Networks (GANs) are advancing video technology by enabling machines to produce videos with remarkable clarity. This work explores a GAN model specifically designed for video frame interpolation, a key method for improving slow-motion effects and smoothing video playback. Out of 849 papers from different sources like Science Direct and Google Scholar etc. Out of those papers, this paper selects 232 papers for this review. This paper investigates the competition between a pair of neural networks, a critic, and a creator, that collaborate to generate frames that are identical to actual video. Our research opens the door for future advancements in video processing technologies while also demonstrating the model's effectiveness in optimizing videos for a range of uses.