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

You can find evaluation results in the subtasks. You can also submitting evaluation metrics for this task.

Greatest papers with code

DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection

1 Jan 2020deepfakes/faceswap

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.

DEEPFAKE DETECTION FACE GENERATION FACE SWAPPING

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

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.

FACE GENERATION

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.

FACE GENERATION

AvatarMe: Realistically Renderable 3D Facial Reconstruction "in-the-wild"

CVPR 2020 lattas/avatarme

Over the last years, with the advent of Generative Adversarial Networks (GANs), many face analysis tasks have accomplished astounding performance, with applications including, but not limited to, face generation and 3D face reconstruction from a single "in-the-wild" image.

3D FACE RECONSTRUCTION FACE GENERATION

Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition

2 Sep 2018ZhaoJ9014/High_Performance_Face_Recognition

Benchmarking our model on one of the most popular unconstrained face recognition datasets IJB-C additionally verifies the promising generalizability of AIM in recognizing faces in the wild.

AGE-INVARIANT FACE RECOGNITION FACE GENERATION REPRESENTATION LEARNING

Face Synthesis for Eyeglass-Robust Face Recognition

4 Jun 2018cleardusk/MeGlass

A feasible method is to collect large-scale face images with eyeglasses for training deep learning methods.

FACE GENERATION FACE RECOGNITION ROBUST FACE RECOGNITION

COCO-GAN: Generation by Parts via Conditional Coordinating

ICCV 2019 hubert0527/COCO-GAN

Despite the full images are never generated during training, we show that COCO-GAN can produce \textbf{state-of-the-art-quality} full images during inference.

FACE GENERATION