Facial image manipulation has achieved great progress in recent years. However, previous
methods either operate on a predefined set of face attributes or leave users little freedom to …

Recent advances like StyleGAN have promoted the growth of controllable facial editing. To
address its core challenge of attribute decoupling in a single latent space, attempts have …

Recent advances in face manipulation using StyleGAN have produced impressive results.
However, StyleGAN is inherently limited to cropped aligned faces at a fixed image resolution …

High quality facial image editing is a challenging problem in the movie post-production
industry, requiring a high degree of control and identity preservation. Previous works that …

Text-to-image diffusion models have remarkably excelled in producing diverse high-quality
and photo-realistic images. This advancement has spurred a growing interest in …

Face editing generates a face image with the target attributes without changing the identity
or other information. Current methods have achieved considerable performance; however …

Facial editing is an important task in vision and graphics with numerous applications.
However, existing works are incapable to deliver a continuous and fine-grained editing …

Portrait editing is a popular subject in photo manipulation. The Generative Adversarial
Network (GAN) advances the generating of realistic faces and allows more face editing. In …

We present a novel paradigm for high-fidelity face swapping that faithfully preserves the
desired subtle geometry and texture details. We rethink face swapping from the perspective …

Cycle consistency is widely used for face editing. However, we observe that the generator
tends to find a tricky way to hide information from the original image to satisfy the constraint …