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Face Swapping

Face swapping refers to the task of swapping faces between images or in an video, while maintaining the rest of the body and environment context.

( Image credit: Swapped Face Detection using Deep Learning and Subjective Assessment )

Papers

Showing 726750 of 914 papers

TitleStatusHype
A Review of Deep Learning-based Approaches for Deepfake Content Detection0
D4: Detection of Adversarial Diffusion Deepfakes Using Disjoint Ensembles0
FrePGAN: Robust Deepfake Detection Using Frequency-level Perturbations0
A new face swap method for image and video domains: a technical reportCode3
Block shuffling learning for Deepfake DetectionCode0
Deepfake pornography as a male gaze on fan culture0
Crowd-powered Face Manipulation Detection: Fusing Human Examiner Decisions0
Psychophysical Evaluation of Human Performance in Detecting Digital Face Image Manipulations0
MobileFaceSwap: A Lightweight Framework for Video Face SwappingCode2
DeepFake Disrupter: The Detector of DeepFake Is My Friend0
Smooth-Swap: A Simple Enhancement for Face-Swapping with Smoothness0
ADD: Frequency Attention and Multi-View based Knowledge Distillation to Detect Low-Quality Compressed Deepfake ImagesCode0
Physics guided deep learning generative models for crystal materials discovery0
Audio Deepfake Perceptions in College Going Populations0
Contrastive Learning of Global and Local Video Representations0
How Deep Are the Fakes? Focusing on Audio Deepfake: A Survey0
A War Beyond Deepfake: Benchmarking Facial Counterfeits and Countermeasures0
Investigating self-supervised front ends for speech spoofing countermeasuresCode1
FakeTransformer: Exposing Face Forgery From Spatial-Temporal Representation Modeled By Facial Pixel Variations0
Impact of Benign Modifications on Discriminative Performance of Deepfake Detectors0
WaveFake: A Data Set to Facilitate Audio Deepfake DetectionCode1
Exposing Deepfake with Pixel-wise AR and PPG Correlation from Faint Signals0
MC-LCR: Multi-modal contrastive classification by locally correlated representations for effective face forgery detection0
Explaining deep learning models for spoofing and deepfake detection with SHapley Additive exPlanationsCode1
Attack as the Best Defense: Nullifying Image-to-image Translation GANs via Limit-aware Adversarial AttackCode1
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