Papers with Code 아카이브
Face Swapping
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 4
- 보존된 평가 기록
- 23
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.
<span style="color:grey; opacity: 0.6">( Image credit: Swapped Face Detection using Deep Learning and Subjective Assessment )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
MGFFD-VLM: Multi-Granularity Prompt Learning for Face Forgery Detection with VLM
CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection
Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection
DDL: A Dataset for Interpretable Deepfake Detection and Localization in Real-World Scenarios
Post-training for Deepfake Speech Detection
Pay Less Attention to Deceptive Artifacts: Robust Detection of Compressed Deepfakes on Online Social Networks
IndieFake Dataset: A Benchmark Dataset for Audio Deepfake Detection
SELFI: Selective Fusion of Identity for Generalizable Deepfake Detection
Spotting tell-tale visual artifacts in face swapping videos: strengths and pitfalls of CNN detectors
A Watermark for Auto-Regressive Image Generation Models
FAME: A Lightweight Spatio-Temporal Network for Model Attribution of Face-Swap Deepfakes
From Sharpness to Better Generalization for Speech Deepfake Detection
LLMs Are Not Yet Ready for Deepfake Image Detection
Enhancing Deepfake Detection using SE Block Attention with CNN
Unmasking real-world audio deepfakes: A data-centric approach
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization
Lightweight Joint Audio-Visual Deepfake Detection via Single-Stream Multi-Modal Learning Framework
Towards Generalized Source Tracing for Codec-Based Deepfake Speech
TADA: Training-free Attribution and Out-of-Domain Detection of Audio Deepfakes
DeepFake Doctor: Diagnosing and Treating Audio-Video Fake Detection
Practical Manipulation Model for Robust Deepfake Detection
SocialDF: Benchmark Dataset and Detection Model for Mitigating Harmful Deepfake Content on Social Media Platforms
AuthGuard: Generalizable Deepfake Detection via Language Guidance
PartialEdit: Identifying Partial Deepfakes in the Era of Neural Speech Editing
Towards Source Attribution of Singing Voice Deepfake with Multimodal Foundation Models
A Data-Driven Diffusion-based Approach for Audio Deepfake Explanations
Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion
Multiverse Through Deepfakes: The MultiFakeVerse Dataset of Person-Centric Visual and Conceptual Manipulations
XMAD-Bench: Cross-Domain Multilingual Audio Deepfake Benchmark
Benchmarking Foundation Models for Zero-Shot Biometric Tasks
Rehearsal with Auxiliary-Informed Sampling for Audio Deepfake Detection
TalkingHeadBench: A Multi-Modal Benchmark & Analysis of Talking-Head DeepFake Detection
Few-Shot Speech Deepfake Detection Adaptation with Gaussian Processes
Guard Me If You Know Me: Protecting Specific Face-Identity from Deepfakes
STOPA: A Database of Systematic VariaTion Of DeePfake Audio for Open-Set Source Tracing and Attribution
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.