A state-of-the-art review on image synthesis with generative adversarial networks
L Wang, W Chen, W Yang, F Bi, FR Yu - Ieee Access, 2020 - ieeexplore.ieee.org
Generative Adversarial Networks (GANs) have achieved impressive results in various image
synthesis tasks, and are becoming a hot topic in computer vision research because of the …
synthesis tasks, and are becoming a hot topic in computer vision research because of the …
[HTML][HTML] Generative adversarial networks for biomedical time series forecasting and imputation
In the present systematic review we identified and summarised current research activities in
the field of time series forecasting and imputation with the help of generative adversarial …
the field of time series forecasting and imputation with the help of generative adversarial …
PSGAN: A generative adversarial network for remote sensing image pan-sharpening
This article addresses the problem of remote sensing image pan-sharpening from the
perspective of generative adversarial learning. We propose a novel deep neural network …
perspective of generative adversarial learning. We propose a novel deep neural network …
Stylegan2 distillation for feed-forward image manipulation
StyleGAN2 is a state-of-the-art network in generating realistic images. Besides, it was
explicitly trained to have disentangled directions in latent space, which allows efficient …
explicitly trained to have disentangled directions in latent space, which allows efficient …
When age-invariant face recognition meets face age synthesis: a multi-task learning framework and a new benchmark
To minimize the impact of age variation on face recognition, age-invariant face recognition
(AIFR) extracts identity-related discriminative features by minimizing the correlation between …
(AIFR) extracts identity-related discriminative features by minimizing the correlation between …
ifan: Image-instance full alignment networks for adaptive object detection
Training an object detector on a data-rich domain and applying it to a data-poor one with
limited performance drop is highly attractive in industry, because it saves huge annotation …
limited performance drop is highly attractive in industry, because it saves huge annotation …
Production-ready face re-aging for visual effects
Photorealistic digital re-aging of faces in video is becoming increasingly common in
entertainment and advertising. But the predominant 2D painting workflow often requires …
entertainment and advertising. But the predominant 2D painting workflow often requires …
Face aging via diffusion-based editing
X Chen, S Lathuilière - arXiv preprint arXiv:2309.11321, 2023 - arxiv.org
In this paper, we address the problem of face aging: generating past or future facial images
by incorporating age-related changes to the given face. Previous aging methods rely solely …
by incorporating age-related changes to the given face. Previous aging methods rely solely …
Triple-GAN: Progressive face aging with triple translation loss
Face aging is a challenging task which aims at rendering face for input with aging effects
and preserving identity information. However, existing methods have split the long term into …
and preserving identity information. However, existing methods have split the long term into …
Age and gender prediction using deep convolutional neural networks
Age and gender identification have become a major part of the network, security and care. It
has a common use in age specific content access for children. Social media uses it in …
has a common use in age specific content access for children. Social media uses it in …