\"We encourage the representation to be multiview-consistent by restricting the network to predict the volume density sigma as a function of only the location x, while allowing the RGB color c to be predicted as a function of both location and viewing direction. To accomplish this, the MLP first processes the input 3D coordinate x with 8 fully-connected layers (using ReLU activations and 256 channels per layer), and outputs sigma and a 256-dimensional feature vector. This feature vector is then concatenated with the camera ray's viewing direction and passed to one additional fully-connected layer (using a ReLU activation and 128 channels) that output the view-dependent RGB color.\"