Hi, thanks for your work.
I have found that the hairclip algorithm is not very good at preserving facial details, such as work like "Barbershop: Hair Transfer with GAN-Based Image Compositing Using Segmentation Masks". I tried "HFGI: High-Fidelity GAN Inversion for Image Attribute Editing (CVPR 2022)" as a latent encoder, but the effect is not very good.
Can you give some advice or methods on how to preserve the facial details? Very much looking forward to your answer, thank you!
hairclip demo
left image: input image, right image: result
hairclip demo use HFGI latents
left image: input image, right image: result
Hi, thanks for your work.
I have found that the hairclip algorithm is not very good at preserving facial details, such as work like "Barbershop: Hair Transfer with GAN-Based Image Compositing Using Segmentation Masks". I tried "HFGI: High-Fidelity GAN Inversion for Image Attribute Editing (CVPR 2022)" as a latent encoder, but the effect is not very good.
Can you give some advice or methods on how to preserve the facial details? Very much looking forward to your answer, thank you!
hairclip demo left image: input image, right image: result
hairclip demo use HFGI latents left image: input image, right image: result
Babershop demo