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Fake Image Detection
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<span style="color:grey; opacity: 0.6">( Image credit: FaceForensics++ )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Advance Fake Video Detection via Vision Transformers
Towards Explainable Fake Image Detection with Multi-Modal Large Language Models
TruthLens:A Training-Free Paradigm for DeepFake Detection
PDA: Generalizable Detection of AI-Generated Images via Post-hoc Distribution Alignment
Stay-Positive: A Case for Ignoring Real Image Features in Fake Image Detection
Visual Counter Turing Test (VCT^2): Discovering the Challenges for AI-Generated Image Detection and Introducing Visual AI Index (V_AI)
Detecting AutoEncoder is Enough to Catch LDM Generated Images
On the Effectiveness of Dataset Alignment for Fake Image Detection
FIDAVL: Fake Image Detection and Attribution using Vision-Language Model
FakeBench: Probing Explainable Fake Image Detection via Large Multimodal Models
ASAP: Interpretable Analysis and Summarization of AI-generated Image Patterns at Scale
Detecting Origin Attribution for Text-to-Image Diffusion Models
Transfer Learning of Real Image Features with Soft Contrastive Loss for Fake Image Detection
Unveiling the Truth: Exploring Human Gaze Patterns in Fake Images
X-Transfer: A Transfer Learning-Based Framework for GAN-Generated Fake Image Detection
Parents and Children: Distinguishing Multimodal DeepFakes from Natural Images
Information-containing Adversarial Perturbation for Combating Facial Manipulation Systems
DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models
Evaluation of Pre-Trained CNN Models for Geographic Fake Image Detection
0/1 Deep Neural Networks via Block Coordinate Descent
Deepfake Network Architecture Attribution
Can We Find Neurons that Cause Unrealistic Images in Deep Generative Networks?
Geo-DefakeHop: High-Performance Geographic Fake Image Detection
MC-LCR: Multi-modal contrastive classification by locally correlated representations for effective face forgery detection
Learning to Disentangle GAN Fingerprint for Fake Image Attribution
Imperceptible Adversarial Examples for Fake Image Detection
Fake-image detection with Robust Hashing
CycleGAN without checkerboard artifacts for counter-forensics of fake-image detection
Dodging DeepFake Detection via Implicit Spatial-Domain Notch Filtering
CDE-GAN: Cooperative Dual Evolution Based Generative Adversarial Network
FakePolisher: Making DeepFakes More Detection-Evasive by Shallow Reconstruction
Spoof Face Detection Via Semi-Supervised Adversarial Training
Video Face Manipulation Detection Through Ensemble of CNNs
On the use of Benford's law to detect GAN-generated images
Global Texture Enhancement for Fake Face Detection in the Wild
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.