Texture Enhancement Module

Texture enhancement modules are computational components designed to improve the detail and realism of images and videos, addressing limitations in existing image generation and restoration techniques. Current research focuses on integrating these modules into various architectures, including diffusion models and transformer networks, often employing strategies like iterative refinement and multi-stage processing to achieve high-fidelity results. These advancements are significantly impacting fields such as video super-resolution, virtual try-on, and face restoration, enabling more realistic and detailed image synthesis and manipulation. The improved quality and realism directly benefit applications requiring high-fidelity image generation.