The author introduces Positional Encoding Image Prior (PIP) as an alternative to Deep Image Prior (DIP) for image reconstruction, utilizing Fourier-Features and MLPs. PIP demonstrates comparable performance to DIP with fewer parameters and extends well to video tasks.
DIP and PIP utilize neural implicit models with Fourier-Features for image restoration, showcasing comparable performance.