My first reaction was that it's surprisingly close to the traditional "average face" [0] generated by overlaying photos that we've seen in so many articles. My

My first reaction was that it's surprisingly close to the traditional "average face" [0] generated by overlaying photos that we've seen in so many articles. My second reaction was to look for articles that don't average out young faces and the result gets even closer. [1] The traditional simple averaging process removes most wrinkles, rosacea and blemishes because those differ between individuals but the facial proportions match Loab well. It appears the AI when negatively weighted gives the most average possible result that still matches the concept of a face while picking the most unpopular levels of skin texture and lighting. It's basically Courtney Cox at 70 after a ten-year whiskey bender. [0] https://petapixel.com/2011/02/11/average-faces-of-women-in-40-countries/ https://petapixel.com/2011/02/11/average-faces-of-women-in-4... [1] https://www.researchgate.net/figure/Average-faces-of-young-20-29-and-old-60-69-women-from-French-Caucasian-Chinese_fig1_318677248 https://www.researchgate.net/figure/Average-faces-of-young-2...