A review on generative adversarial networks: Algorithms, theory, and applications
Generative adversarial networks (GANs) have recently become a hot research topic;
however, they have been studied since 2014, and a large number of algorithms have been …
however, they have been studied since 2014, and a large number of algorithms have been …
A survey on generative adversarial networks: Variants, applications, and training
The Generative Models have gained considerable attention in unsupervised learning via a
new and practical framework called Generative Adversarial Networks (GAN) due to their …
new and practical framework called Generative Adversarial Networks (GAN) due to their …
Adversarial deepfakes: Evaluating vulnerability of deepfake detectors to adversarial examples
Recent advances in video manipulation techniques have made the generation of fake
videos more accessible than ever before. Manipulated videos can fuel disinformation and …
videos more accessible than ever before. Manipulated videos can fuel disinformation and …
Deep audio-visual learning: A survey
Audio-visual learning, aimed at exploiting the relationship between audio and visual
modalities, has drawn considerable attention since deep learning started to be used …
modalities, has drawn considerable attention since deep learning started to be used …
Space: Speech-driven portrait animation with controllable expression
Animating portraits using speech has received growing attention in recent years, with
various creative and practical use cases. An ideal generated video should have good lip …
various creative and practical use cases. An ideal generated video should have good lip …
Speech2face: Learning the face behind a voice
How much can we infer about a person's looks from the way they speak? In this paper, we
study the task of reconstructing a facial image of a person from a short audio recording of …
study the task of reconstructing a facial image of a person from a short audio recording of …
3dpeople: Modeling the geometry of dressed humans
Recent advances in 3D human shape estimation build upon parametric representations that
model very well the shape of the naked body, but are not appropriate to represent the …
model very well the shape of the naked body, but are not appropriate to represent the …
An analysis of generative adversarial networks and variants for image synthesis on MNIST dataset
Abstract Generative Adversarial Networks (GANs) are most popular generative frameworks
that have achieved compelling performance. They follow an adversarial approach where …
that have achieved compelling performance. They follow an adversarial approach where …
[HTML][HTML] Talking human face generation: A survey
Talking human face generation aims at synthesizing a natural human face that talks in
correspondence to the given text or audio series. Implementing the recently developed …
correspondence to the given text or audio series. Implementing the recently developed …
Adversarial-metric learning for audio-visual cross-modal matching
A Zheng, M Hu, B Jiang, Y Huang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Audio-visual matching aims to learn the intrinsic correspondence between image and audio
clip. Existing works mainly concentrate on learning discriminative features, while ignore the …
clip. Existing works mainly concentrate on learning discriminative features, while ignore the …