Face Generation

89 papers with code • 0 benchmarks • 4 datasets

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 )

Most implemented papers

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

deepinsight/insightface CVPR 2019

Recently, a popular line of research in face recognition is adopting margins in the well-established softmax loss function to maximize class separability.

Everybody Dance Now

carolineec/EverybodyDanceNow ICCV 2019

This paper presents a simple method for "do as I do" motion transfer: given a source video of a person dancing, we can transfer that performance to a novel (amateur) target after only a few minutes of the target subject performing standard moves.

Learning a model of facial shape and expression from 4D scans

Rubikplayer/flame-fitting SIGGRAPH Asia 2017

FLAME is low-dimensional but more expressive than the FaceWarehouse model and the Basel Face Model.

FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping

mindslab-ai/faceshifter 31 Dec 2019

We propose a novel attributes encoder for extracting multi-level target face attributes, and a new generator with carefully designed Adaptive Attentional Denormalization (AAD) layers to adaptively integrate the identity and the attributes for face synthesis.

Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation

eladrich/pixel2style2pixel CVPR 2021

We present a generic image-to-image translation framework, pixel2style2pixel (pSp).

GANimation: Anatomically-aware Facial Animation from a Single Image

albertpumarola/GANimation ECCV 2018

Recent advances in Generative Adversarial Networks (GANs) have shown impressive results for task of facial expression synthesis.

Interpreting the Latent Space of GANs for Semantic Face Editing

ShenYujun/InterFaceGAN CVPR 2020

In this work, we propose a novel framework, called InterFaceGAN, for semantic face editing by interpreting the latent semantics learned by GANs.

Few-shot Knowledge Transfer for Fine-grained Cartoon Face Generation

minivision-ai/photo2cartoon 27 Jul 2020

In this paper, we are interested in generating fine-grained cartoon faces for various groups.

Wav2Pix: Speech-conditioned Face Generation using Generative Adversarial Networks

imatge-upc/wav2pix 25 Mar 2019

Speech is a rich biometric signal that contains information about the identity, gender and emotional state of the speaker.