I want to help people with cancer who are under chemotherapy, and generally people who have lost their hair to Virtually Try-On Toupees/Wigs on their head.
VTO must support both the frontal and side positions of the head.
At first, I thought I could use traditional deep-learning to find landmarks, then place the hairstyle on the head.
But the results were unrealistic and inaccurate.
2D Placing of Hair:
Some Hairstyles and Portraits fit well together:
But some don't:
They need manual modification:
Sometimes the original hair needs to be erased:
GANs promise more natural results with less manual engineering
So, I decided to use GANs for this Task.
Is it a good choice or is there an alternate solution?