Deep image prior (DIP) is a powerful technique for restoration that leverages an untrained network as handcrafted prior. DIP can also be used hyperspectral (HSI) denoising tasks and has achieved impressive performance. Recent works further incorporate different regularization terms to enhance the performance of successfully show notable improvements. However, most DIP-based methods HSI rarely c...