SFI-Swin: Symmetric Face Inpainting with Swin Transformer by Distinctly Learning Face Components Distributions

Understand

Image inpainting consists of filling holes or missing parts of an image.

• Inpainting face images with symmetric characteristics is more challenging than inpainting a natural scene.
• None of the powerful existing models can fill out the missing parts of an image while considering the symmetry and homogeneity of the picture.
• Moreover, the metrics that assess a repaired face image quality cannot measure the preservation of symmetry between the rebuilt and existing parts of a face.