InverseRenderNet: Learning Single Image Inverse Rendering
InverseRenderNet: Learning Single Image Inverse Rendering
We show how to train a fully convolutional neural network to perform inverse rendering from a single, uncontrolled image. The network takes an RGB image as input, regresses albedo and normal maps from which we compute lighting coefficients. Our network is trained using large uncontrolled image collections without ground truth. …