  Self-portraits captured from a short distance might look unnatural or even
unattractive due to heavy distortions making facial features malformed, and
ill-placed head poses. In this paper, we propose SUPER, a novel method of
eliminating distortions and adjusting head pose in a close-up face crop. We
perform 3D GAN inversion for a facial image by optimizing camera parameters and
face latent code, which gives a generated image. Besides, we estimate depth
from the obtained latent code, create a depth-induced 3D mesh, and render it
with updated camera parameters to obtain a warped portrait. Finally, we apply
the visibility-based blending so that visible regions are reprojected, and
occluded parts are restored with a generative model. Experiments on face
undistortion benchmarks and on our self-collected Head Rotation dataset (HeRo),
show that SUPER outperforms previous approaches both qualitatively and
quantitatively, opening new possibilities for photorealistic selfie editing.
