We present a high-fidelity 3D generative adversarial network (GAN) inversion framework
that can synthesize photo-realistic novel views while preserving specific details of the input …

This work presents 3DPE, a practical method that can efficiently edit a face image following
given prompts, like reference images or text descriptions, in a 3D-aware manner. To this …

Close-up facial images captured at short distances often suffer from perspective distortion,
resulting in exaggerated facial features and unnatural/unattractive appearances. We …

Learning Geometry from a single image has been a long-standing and challenging problem.
Single image methods heavily rely on learned image priors, which may not generalize well …