Face Generation

69 papers with code • 0 benchmarks • 2 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

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.

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.

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.

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.

AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generation

bing-li-ai/AniGAN 24 Feb 2021

Specifically, a new generator architecture is proposed to simultaneously transfer color/texture styles and transform local facial shapes into anime-like counterparts based on the style of a reference anime-face, while preserving the global structure of the source photo-face.