• face attractiveness enhancement
• identity preservation
• face lifting
• face beautification
• face editing

The thesis deals with the problem of performing face attractiveness enhancement edits while preserving the identity of the subject. This work analyzes different methodologies, involving GANs and Diffusion models, and proposes a UNet based efficient approach for the editing task of Face Attractiveness Enhancement, with the goal of potentially solving other face editing tasks using the same method. The thesis has been developed as part of an internship at Bending Spoons.