Face Swapping
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Benchmarks
Most implemented
DeepFaceLab: Integrated, flexible and extensible face-swapping framework
FaceForensics++: Learning to Detect Manipulated Facial Images
FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping
The DeepFake Detection Challenge (DFDC) Dataset
Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics
MesoNet: a Compact Facial Video Forgery Detection Network
Papers
Multi-Agent Forensic Reasoning for Generalizable Deepfake Video Detection
The malicious use of generative artificial intelligence to create highly realistic deepfake videos raises serious ethical concerns and poses substantial challenges to AI safety. However, existing deepfake video benchmark…
Face SwappingAdaptive Identity Anchoring: Closed-Loop Keyframe Placement for Synthetic Paired Supervision in Video Face Swapping
Video face swapping has no natural paired supervision: no real footage exists of one person's face performing another person's video. The strongest current answer, DreamID-V's SyncID-Pipe, mints pairs by replacing the id…
Face SwappingSwapping Faces, Saving Features: A Dual-Purpose Pipeline for Pedestrian Privacy in ITS
Large-scale and diverse datasets are needed to train AI models to take real-time decisions for autonomous vehicles (AVs), an intelligent transportation system (ITS) application. Pedestrian intention and trajectory predic…
Trajectory PredictionAutonomous VehiclesFace SwappingTransferable Attack against Face Swapping in an Extended Space
Although deep Face Swapping (FS) models may benefit the entertainment industry, they pose severe threats to privacy and security. Existing protections, including deepfake detection and adversarial perturbation, are eithe…
DeepFake DetectionFace SwappingTowards High Fidelity Face Swapping: A Comprehensive Survey and New Benchmark
Face swapping has witnessed significant progress in recent years, largely driven by advances in deep generative models such as GANs and diffusion models.Despite these advances, existing methods remain fragmented across d…
Face SwappingCA-IDD: Cross-Attention Guided Identity-Conditional Diffusion for Identity-Consistent Face Swapping
Face swapping aims to optimize realistic facial image generation by leveraging the identity of a source face onto a target face while preserving pose, expression, and context. However, existing methods, especially GAN-ba…
Image GenerationFace Swapping