Face generation is the task of generating (or interpolating) new faces from an existing dataset.

The state-of-the-art results for this task are located in the Image Generation parent.

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Incremental learning for the detection and classification of GAN-generated images

3 Oct 2019

Current developments in computer vision and deep learning allow to automatically generate hyper-realistic images, hardly distinguishable from real ones.

FACE GENERATION

On the Detection of Digital Face Manipulation

3 Oct 2019

Instead of simply using a multi-task learning approach to simultaneously detect manipulated images and predict the manipulated mask (regions), we propose to utilize the attention mechanism to process and improve the feature maps of the classifier model.

FACE DETECTION FACE GENERATION MULTI-TASK LEARNING

Dual Encoder-Decoder based Generative Adversarial Networks for Disentangled Facial Representation Learning

19 Sep 2019

To be more specific, the encoder-decoder structured generator is used to learn a pose disentangled face representation, and the encoder-decoder structured discriminator is tasked to perform real/fake classification, face reconstruction, determining identity and estimating face pose.

BENCHMARKING FACE GENERATION FACE RECOGNITION FACE RECONSTRUCTION POSE ESTIMATION REPRESENTATION LEARNING ROBUST FACE RECOGNITION

MemeFaceGenerator: Adversarial Synthesis of Chinese Meme-face from Natural Sentences

14 Aug 2019

Chinese meme-face is a special kind of internet subculture widely spread in Chinese Social Community Networks.

FACE GENERATION

AdvFaces: Adversarial Face Synthesis

14 Aug 2019

Face recognition systems have been shown to be vulnerable to adversarial examples resulting from adding small perturbations to probe images.

FACE GENERATION FACE RECOGNITION

Landmark Assisted CycleGAN for Cartoon Face Generation

2 Jul 2019

In this paper, we are interested in generating an cartoon face of a person by using unpaired training data between real faces and cartoon ones.

FACE GENERATION

Hiding Faces in Plain Sight: Disrupting AI Face Synthesis with Adversarial Perturbations

21 Jun 2019

Recent years have seen fast development in synthesizing realistic human faces using AI technologies.

FACE DETECTION FACE GENERATION

Mask-Guided Portrait Editing With Conditional GANs

CVPR 2019

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.

DATA AUGMENTATION FACE GENERATION

Using Photorealistic Face Synthesis and Domain Adaptation to Improve Facial Expression Analysis

17 May 2019

Moreover, we also conduct experiments on a near-infrared dataset containing facial expression videos of drivers to assess the performance using in-the-wild data for driver emotion recognition.

DOMAIN ADAPTATION EMOTION RECOGNITION FACE GENERATION