Notes from the margins of an engineering education.

SimVP: A Simpler Path to Better Video Prediction

SimVP offers a simple yet effective approach to video prediction, challenging the reliance on complex architectures. By utilizing basic CNNs and MSE loss, it captures spatial and temporal dependencies efficiently. Achieving state-of-the-art performance on benchmark datasets like Moving MNIST and Human3.6, SimVP demonstrates that simplicity can yield powerful results in video forecasting.