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 …
How generative adversarial networks and their variants work: An overview
Generative Adversarial Networks (GANs) have received wide attention in the machine
learning field for their potential to learn high-dimensional, complex real data distribution …
learning field for their potential to learn high-dimensional, complex real data distribution …
Deepfake video detection using recurrent neural networks
In recent months a machine learning based free software tool has made it easy to create
believable face swaps in videos that leaves few traces of manipulation, in what are known …
believable face swaps in videos that leaves few traces of manipulation, in what are known …
Faceforensics++: Learning to detect manipulated facial images
The rapid progress in synthetic image generation and manipulation has now come to a point
where it raises significant concerns for the implications towards society. At best, this leads to …
where it raises significant concerns for the implications towards society. At best, this leads to …
High-resolution image inpainting using multi-scale neural patch synthesis
Recent advances in deep learning have shown exciting promise in filling large holes in
natural images with semantically plausible and context aware details, impacting …
natural images with semantically plausible and context aware details, impacting …
Dlow: Domain flow for adaptation and generalization
In this work, we present a domain flow generation (DLOW) model to bridge two different
domains by generating a continuous sequence of intermediate domains flowing from one …
domains by generating a continuous sequence of intermediate domains flowing from one …
Faceforensics: A large-scale video dataset for forgery detection in human faces
With recent advances in computer vision and graphics, it is now possible to generate videos
with extremely realistic synthetic faces, even in real time. Countless applications are …
with extremely realistic synthetic faces, even in real time. Countless applications are …
Visual perception enabled industry intelligence: state of the art, challenges and prospects
Visual perception refers to the process of organizing, identifying, and interpreting visual
information in environmental awareness and understanding. With the rapid progress of …
information in environmental awareness and understanding. With the rapid progress of …
Elegant: Exchanging latent encodings with gan for transferring multiple face attributes
T **ao, J Hong, J Ma - Proceedings of the European …, 2018 - openaccess.thecvf.com
Recent studies on face attribute transfer have achieved great success. A lot of models are
able to transfer face attributes with an input image. However, they suffer from three …
able to transfer face attributes with an input image. However, they suffer from three …
Fairness GAN: Generating datasets with fairness properties using a generative adversarial network
We introduce the Fairness GAN (generative adversarial network), an approach for
generating a dataset that is plausibly similar to a given multimedia dataset, but is more fair …
generating a dataset that is plausibly similar to a given multimedia dataset, but is more fair …