Deepfakes generation and detection: State-of-the-art, open challenges, countermeasures, and way forward
Easy access to audio-visual content on social media, combined with the availability of
modern tools such as Tensorflow or Keras, and open-source trained models, along with …
modern tools such as Tensorflow or Keras, and open-source trained models, along with …
DeepFake on face and expression swap: A review
Remarkable advances have been made in deep learning, leading to the emergence of
highly realistic AI-generated videos known as deepfakes. Deepfakes use generative models …
highly realistic AI-generated videos known as deepfakes. Deepfakes use generative models …
Towards solving the deepfake problem: An analysis on improving deepfake detection using dynamic face augmentation
In this paper, we focus on identifying the limitations and shortcomings of existing deepfake
detection frameworks. We identified some key problems surrounding deepfake detection …
detection frameworks. We identified some key problems surrounding deepfake detection …
Deep person generation: A survey from the perspective of face, pose, and cloth synthesis
Deep person generation has attracted extensive research attention due to its wide
applications in virtual agents, video conferencing, online shop**, and art/movie …
applications in virtual agents, video conferencing, online shop**, and art/movie …
Domain‐adaptive denoising network for low‐dose CT via noise estimation and transfer learning
Background In recent years, low‐dose computed tomography (LDCT) has played an
important role in the diagnosis CT to reduce the potential adverse effects of X‐ray radiation …
important role in the diagnosis CT to reduce the potential adverse effects of X‐ray radiation …
Deep learning based single sample face recognition: a survey
Face recognition has long been an active research area in the field of artificial intelligence,
particularly since the rise of deep learning in recent years. In some practical situations, each …
particularly since the rise of deep learning in recent years. In some practical situations, each …
Deepfakes: Detecting forged and synthetic media content using machine learning
The rapid advancement in deep learning makes the differentiation of authentic and
manipulated facial images and video clips unprecedentedly harder. The underlying …
manipulated facial images and video clips unprecedentedly harder. The underlying …
A review on deepfake generation and detection: bibliometric analysis
Deepfake refers to an artificial intelligence-based technique to produce manipulated videos
that look realistic. However, this good aspect of Deepfake sometimes pose serious threats to …
that look realistic. However, this good aspect of Deepfake sometimes pose serious threats to …
Fighting malicious media data: A survey on tampering detection and deepfake detection
Online media data, in the forms of images and videos, are becoming mainstream
communication channels. However, recent advances in deep learning, particularly deep …
communication channels. However, recent advances in deep learning, particularly deep …
Flnerf: 3d facial landmarks estimation in neural radiance fields
This paper presents the first significant work on directly predicting 3D face landmarks on
neural radiance fields (NeRFs). Our 3D coarse-to-fine Face Landmarks NeRF (FLNeRF) …
neural radiance fields (NeRFs). Our 3D coarse-to-fine Face Landmarks NeRF (FLNeRF) …