Frame Interpolation (Frame Interpolation) is a high-quality frame interpolation neural network model. This model uses a unified single-network method, does not require additional pre-trained networks, such as optical flow or depth networks, but still achieves state-of-the-art results. The model uses a multi-scale feature extractor to share the same convolutional weights at different scales. The model is trained only using frame trios.