RestoreFormer
The project facilitates blind face restoration through the use of spatial attention techniques, integrating a multi-head cross-attention layer to improve interaction between different quality data. It stands out with its use of a high-quality dictionary filled with detailed facial features, crucial for effective reconstruction. Recent updates enhance user experience with a demo and method refinements, as well as extensive datasets for thorough evaluation. Explore resources and updates via the available links.
