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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Greatest papers with code

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

Talking Face Generation by Adversarially Disentangled Audio-Visual Representation

20 Jul 2018Hangz-nju-cuhk/Talking-Face-Generation-DAVS

Talking face generation aims to synthesize a sequence of face images that correspond to a clip of speech.

TALKING 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

Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model

ECCV 2018 barisgecer/facegan

We propose a novel end-to-end semi-supervised adversarial framework to generate photorealistic face images of new identities with wide ranges of expressions, poses, and illuminations conditioned by a 3D morphable model.

DOMAIN ADAPTATION FACE GENERATION FACE RECOGNITION STYLE TRANSFER

CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training

ICLR 2018 mkocaoglu/CausalGAN

We show that adversarial training can be used to learn a generative model with true observational and interventional distributions if the generator architecture is consistent with the given causal graph.

FACE GENERATION

Triple consistency loss for pairing distributions in GAN-based face synthesis

8 Nov 2018ESanchezLozano/GANnotation

To show this is effective, we incorporate the triple consistency loss into the training of a new landmark-guided face to face synthesis, where, contrary to previous works, the generated images can simultaneously undergo a large transformation in both expression and pose.

FACE GENERATION

Everybody Dance Now

22 Aug 2018Lotayou/everybody_dance_now_pytorch

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.

FACE GENERATION IMAGE-TO-IMAGE TRANSLATION VIDEO GENERATION

Face Synthesis from Visual Attributes via Sketch using Conditional VAEs and GANs

30 Dec 2017DetionDX/Attribute2Sketch2Face

In this paper, we take a different approach, where we formulate the original problem as a stage-wise learning problem.

FACE GENERATION

COCO-GAN: Generation by Parts via Conditional Coordinating

30 Mar 2019hubert0527/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