Spectral Normalization

A technique that scales a matrix by its largest singular value. It is used for numerical stability and regularization, and is commonly applied in optimizers and generative models. By constraining the spectral norm, the technique limits the magnitude of the matrix's effect and thereby controls the Lipschitz constant of the associated transformation.