Deepfake generation and detection: A benchmark and survey
Deepfake is a technology dedicated to creating highly realistic facial images and videos
under specific conditions, which has significant application potential in fields such as …
under specific conditions, which has significant application potential in fields such as …
A Comprehensive Survey on Human Video Generation: Challenges, Methods, and Insights
Human video generation is a dynamic and rapidly evolving task that aims to synthesize 2D
human body video sequences with generative models given control conditions such as text …
human body video sequences with generative models given control conditions such as text …
DiffTED: One-shot Audio-driven TED Talk Video Generation with Diffusion-based Co-speech Gestures
Audio-driven talking video generation has advanced significantly but existing methods often
depend on video-to-video translation techniques and traditional generative networks like …
depend on video-to-video translation techniques and traditional generative networks like …
ProFake: Detecting Deepfakes in the Wild against Quality Degradation with Progressive Quality-adaptive Learning
Despite the promising advances in deepfake detection on current datasets, detecting visual
deepfakes in real-world scenarios (eg, deepfake videos and live streaming on YouTube) …
deepfakes in real-world scenarios (eg, deepfake videos and live streaming on YouTube) …
FFGAN: An Auto-supervised Approach for Frontal Face Generation Via Disentangled Contrastive Learning
G Wiem, D Ali - Procedia Computer Science, 2024 - Elsevier
This work proposes a novel generative model, FF-GAN (Frontal Face Generative Adversarial
Network), for generating high-quality and diverse frontal faces. FF-GAN utilizes contrastive …
Network), for generating high-quality and diverse frontal faces. FF-GAN utilizes contrastive …