Face Generation Edit Task
Computer Vision • Facial Recognition and Modelling
About
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.
( Image credit: Progressive Growing of GANs for Improved Quality, Stability, and Variation )
Benchmarks
Subtasks
Greatest papers with code
DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection
The free access to large-scale public databases, together with the fast progress of deep learning techniques, in particular Generative Adversarial Networks, have led to the generation of very realistic fake content with its corresponding implications towards society in this era of fake news.
Progressive Growing of GANs for Improved Quality, Stability, and Variation
ICLR 2018
• tkarras/progressive_growing_of_gans
• 
We describe a new training methodology for generative adversarial networks.
Ranked #1 on
Image Generation
on CelebA-HQ 256x256
Few-shot Knowledge Transfer for Fine-grained Cartoon Face Generation
• minivision-ai/photo2cartoon
• 
In this paper, we are interested in generating fine-grained cartoon faces for various groups.
GANimation: Anatomically-aware Facial Animation from a Single Image
ECCV 2018
• albertpumarola/GANimation
•
Recent advances in Generative Adversarial Networks (GANs) have shown impressive results for task of facial expression synthesis.
CONDITIONAL IMAGE GENERATION FACE GENERATION IMAGE-TO-IMAGE TRANSLATION
A Multiresolution 3D Morphable Face Model and Fitting Framework
In this paper, we present the Surrey Face Model, a multi-resolution 3D Morphable Model that we make available to the public for non-commercial purposes.
3D FACE RECONSTRUCTION FACE GENERATION FACE MODEL FACE RECOGNITION FACIAL LANDMARK DETECTION HEAD POSE ESTIMATION
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
• eladrich/pixel2style2pixel
•
We present a generic image-to-image translation framework, Pixel2Style2Pixel (pSp).
CONDITIONAL IMAGE GENERATION FACE GENERATION IMAGE-TO-IMAGE TRANSLATION
InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANs
In this work, we propose a framework called InterFaceGAN to interpret the disentangled face representation learned by the state-of-the-art GAN models and study the properties of the facial semantics encoded in the latent space.
Interpreting the Latent Space of GANs for Semantic Face Editing
CVPR 2020
• ShenYujun/InterFaceGAN
•
In this work, we propose a novel framework, called InterFaceGAN, for semantic face editing by interpreting the latent semantics learned by GANs.
Talking Face Generation by Adversarially Disentangled Audio-Visual Representation
• Hangz-nju-cuhk/Talking-Face-Generation-DAVS
•
Talking face generation aims to synthesize a sequence of face images that correspond to a clip of speech.
Photo-Realistic Facial Details Synthesis from Single Image
ICCV 2019
• apchenstu/Facial_Details_Synthesis
•
Our technique employs expression analysis for proxy face geometry generation and combines supervised and unsupervised learning for facial detail synthesis.