Generative Adversarial Networks (GANs) have achieved impressive results in various image
synthesis tasks, and are becoming a hot topic in computer vision research because of the …

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 …

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 …

Though face rotation has achieved rapid progress in recent years, the lack of high-quality
paired training data remains a great hurdle for existing methods. The current generative …

Generating random photo-realistic images has experienced tremendous growth during the
past few years due to the advances of the deep convolutional neural networks and …

A deep facial attribute editing model strives to meet two requirements:(1) attribute
correctness--the target attribute should correctly appear on the edited face image;(2) …

Eyeglasses play an important role in the perception of identity. Authentic virtual
representations of faces can benefit greatly from their inclusion. However, modeling the …

Facial editing is to manipulate the facial attributes of a given face image. Nowadays, with the
development of generative models, users can easily generate 2D and 3D facial images with …

In this paper, we propose a novel task for saliency-guided image translation, with the goal of
image-to-image translation conditioned on the user specified saliency map. To address this …

To enable realistic shape (eg pose and expression) transfer, existing face reenactment
methods rely on a set of target faces for learning subject-specific traits. However, in real …