Architecture of the deep convolutional mixture density network. This architecture directly uses image matrices as input. In this figure, three convolutional layers are drawn, showing the local connection between the different layers. In the fully connected part, a MDN with one hidden layer is used and a vector for each parameter of the GMM is given as result (μ, σ, ω). A sample of a predicted PDF is shown exemplarily.