Gan-generated faces detection: A survey and new perspectives
Abstract Generative Adversarial Networks (GAN) have led to the generation of very realistic
face images, which have been used in fake social media accounts and other disinformation …
face images, which have been used in fake social media accounts and other disinformation …
A systematic literature review on the effectiveness of deepfake detection techniques
L Stroebel, M Llewellyn, T Hartley, TS Ip… - Journal of Cyber …, 2023 - Taylor & Francis
With technological advances, the generation of deepfake material is now within reach of
those operating consumer-grade hardware. As a result, much research has been …
those operating consumer-grade hardware. As a result, much research has been …
Tc4d: Trajectory-conditioned text-to-4d generation
Recent techniques for text-to-4D generation synthesize dynamic 3D scenes using
supervision from pre-trained text-to-video models. However, existing representations, such …
supervision from pre-trained text-to-video models. However, existing representations, such …
DeepFake detection for human face images and videos: A survey
Techniques for creating and manipulating multimedia information have progressed to the
point where they can now ensure a high degree of realism. DeepFake is a generative deep …
point where they can now ensure a high degree of realism. DeepFake is a generative deep …
Efficient emotional adaptation for audio-driven talking-head generation
Audio-driven talking-head synthesis is a popular research topic for virtual human-related
applications. However, the inflexibility and inefficiency of existing methods, which …
applications. However, the inflexibility and inefficiency of existing methods, which …
A survey on the detection and impacts of deepfakes in visual, audio, and textual formats
In the rapidly evolving digital landscape, the generation of fake visual, audio, and textual
content poses a significant threat to the trust of society, political stability, and integrity of …
content poses a significant threat to the trust of society, political stability, and integrity of …
Preserving fairness generalization in deepfake detection
Although effective deepfake detection models have been developed in recent years recent
studies have revealed that these models can result in unfair performance disparities among …
studies have revealed that these models can result in unfair performance disparities among …
AVFakeNet: A unified end-to-end Dense Swin Transformer deep learning model for audio–visual deepfakes detection
Recent advances in the field of machine learning and social media platforms facilitate the
creation and rapid dissemination of realistic fake content (ie, images, videos, audios) …
creation and rapid dissemination of realistic fake content (ie, images, videos, audios) …
MSTA-Net: Forgery detection by generating manipulation trace based on multi-scale self-texture attention
Lots of Deepfake videos are circulating on the Internet, which not only damages the
personal rights of the forged individual, but also pollutes the web environment. What's …
personal rights of the forged individual, but also pollutes the web environment. What's …
Improving fairness in deepfake detection
Despite the development of effective deepfake detectors in recent years, recent studies have
demonstrated that biases in the data used to train these detectors can lead to disparities in …
demonstrated that biases in the data used to train these detectors can lead to disparities in …