Closed 007prateekd closed 2 years ago
Turns out that the GAN inversion is highly sensitive to alignment. The face needs to be aligned perfectly for it to work accurately. A little change here and there gives quite different results. For example, given this image, here are 3 inverted outputs using:
I took a picture with a face in it and generated an image using the
align_face
function. Then, using the same picture, I generated another image by manual cropping as mentioned in https://github.com/mchong6/JoJoGAN/issues/18#issuecomment-1008996040. When I pass both of these through thee4e_projection
function and view the final image, the results are very different although the images which were passed are very similar. Do you have any idea of why this might be?