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Image Forensics
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Can ChatGPT Perform Image Splicing Detection? A Preliminary Study
FakeScope: Large Multimodal Expert Model for Transparent AI-Generated Image Forensics
Camera Model Identification with SPAIR-Swin and Entropy based Non-Homogeneous Patches
iFADIT: Invertible Face Anonymization via Disentangled Identity Transform
FIRE: Robust Detection of Diffusion-Generated Images via Frequency-Guided Reconstruction Error
Is JPEG AI going to change image forensics?
Omni-IML: Towards Unified Image Manipulation Localization
A Taxonomy of Miscompressions: Preparing Image Forensics for Neural Compression
Swin Transformer for Robust Differentiation of Real and Synthetic Images: Intra- and Inter-Dataset Analysis
M^3:Manipulation Mask Manufacturer for Arbitrary-Scale Super-Resolution Mask
Recompression Based JPEG Tamper Detection and Localization Using Deep Neural Network Eliminating Compression Factor Dependency
Deep Image Restoration For Image Anti-Forensics
Device (In)Dependence of Deep Learning-based Image Age Approximation
Fusion Transformer with Object Mask Guidance for Image Forgery Analysis
Towards Effective Image Forensics via A Novel Computationally Efficient Framework and A New Image Splice Dataset
An Effective Image Copy-Move Forgery Detection Using Entropy Information
MMFusion: Combining Image Forensic Filters for Visual Manipulation Detection and Localization
PatchCraft: Exploring Texture Patch for Efficient AI-generated Image Detection
Towards Exploring Fairness in Visual Transformer based Natural and GAN Image Detection Systems
Content Bias in Deep Learning Image Age Approximation: A new Approach Towards better Explainability
Pixel-Inconsistency Modeling for Image Manipulation Localization
Exposing Image Splicing Traces in Scientific Publications via Uncertainty-guided Refinement
Effective Image Tampering Localization via Enhanced Transformer and Co-attention Fusion
A Robust Image Forensic Framework Utilizing Multi-Colorspace Enriched Vision Transformer for Distinguishing Natural and Computer-Generated Images
CTP-Net: Character Texture Perception Network for Document Image Forgery Localization
Can Deep Network Balance Copy-Move Forgery Detection and Distinguishment?
EXIF as Language: Learning Cross-Modal Associations Between Images and Camera Metadata
TriPINet: Tripartite Progressive Integration Network for Image Manipulation Localization
Forged Image Detection using SOTA Image Classification Deep Learning Methods for Image Forensics with Error Level Analysis
Digital Image Forensics using Deep Learning
Totems: Physical Objects for Verifying Visual Integrity
Discovering Transferable Forensic Features for CNN-generated Images Detection
Comprehensive Dataset of Face Manipulations for Development and Evaluation of Forensic Tools
Dual Stream Computer-Generated Image Detection Network Based On Channel Joint And Softpool
Deep Metric Color Embeddings for Splicing Localization in Severely Degraded Images
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.