Modulation Block

Modulation blocks are a key component in advanced image and video processing networks, aiming to improve the quality and controllability of generated or enhanced content. Current research focuses on using these blocks to adaptively adjust model behavior based on input characteristics, such as noise levels in masks or the quality of raw image data, often incorporating techniques like channel and spatial modulation, or shape and location priors. This allows for more robust and efficient processing, leading to improved results in applications ranging from image enhancement and super-resolution to lane detection and content generation.