In a fully-connected network, FiLM applies a different affine transformation to each feature. First, each feature (or channel) is scaled by the corresponding γ parameter. Then, each feature (or channel) is shifted by the corresponding β parameter. γβ In a convolutional network, FiLM applies a different affine transformation to each channel, consistent across spatial locations. γβ