This research project trains a deep learning model on stereo image pairs to synthesize novel viewpoints by predicting color images, alpha layers, and blending weights across multiple depth planes. The network supports different prediction modes for foreground and background color images and can be trained with either pixel-based or VGG perceptual loss functions. The trained model interpolates between views by blending source images at predicted depth planes.