L Bote-Curiel, S Munoz-Romero, A Gerrero-Curieses… - Applied Sciences, 2019 - mdpi.com
In the last few years, there has been a growing expectation created about the analysis of large amounts of data often available in organizations, which has been both scrutinized by …
SRA Ahmed, E Sonuç - Applied Nanoscience, 2023 - Springer
Deepfake network is a prominent topic of research as an application to various systems about security measures. Although there have been many recent advancements in facial …
CC Hsu, YX Zhuang, CY Lee - Applied Sciences, 2020 - mdpi.com
Generative adversarial networks (GANs) can be used to generate a photo-realistic image from a low-dimension random noise. Such a synthesized (fake) image with inappropriate …
With the powerful deep network architectures, such as generative adversarial networks, one can easily generate photorealistic images. Although the generated images are not …
T Zhang - Multimedia Tools and Applications, 2022 - Springer
Deepfake refers to realistic, but fake images, sounds, and videos generated by articial intelligence methods. Recent advances in deepfake generation make deepfake more …
Z Guo, G Yang, J Chen, X Sun - Computer Vision and Image …, 2021 - Elsevier
With the proliferation of face image manipulation (FIM) techniques such as Face2Face and Deepfake, more fake face images are spreading over the internet, which brings serious …
Full face synthesis and partial face manipulation by virtue of the generative adversarial networks (GANs) and its variants have raised wide public concerns. In the multi-media …
A novel analysis-prediction (ANP) approach for geometrically nonlinear problems of solid mechanics is for the first time proposed in this paper. The key concept of this approach is:(1) …
T Qiao, Y Chen, X Zhou, R Shi, H Shao… - … on Cognitive and …, 2023 - ieeexplore.ieee.org
Recently, the Generative Adversarial Networks (GAN) generated images have been spread over the social networks, which brings the new challenge in the the community of media …