Papers Image and Video Forgery Detection
“Image and Video Forgery Detection” 태그가 달린 논문 5편 · 필터 해제
AutoSplice: A Text-prompt Manipulated Image Dataset for Media Forensics
Recent advancements in language-image models have led to the development of highly realistic images that can be generated from textual descriptions. However, the increased visual quality of these generated images poses a…
Image and Video Forgery DetectionImage GenerationTowards Robust Tampered Text Detection in Document Image: New Dataset and New Solution
Recently, tampered text detection in document image has attracted increasingly attention due to its essential role on information security. However, detecting visually consistent tampered text in photographed documen…
DecoderImage and Video Forgery DetectionImage CompressionText DetectionMC-LCR: Multi-modal contrastive classification by locally correlated representations for effective face forgery detection
As the remarkable development of facial manipulation technologies is accompanied by severe security concerns, face forgery detection has become a recent research hotspot. Most existing detection methods train a binary cl…
Contrastive LearningDeepFake DetectionFace SwappingFake Image Detection+3Use of a Capsule Network to Detect Fake Images and Videos
The revolution in computer hardware, especially in graphics processing units and tensor processing units, has enabled significant advances in computer graphics and artificial intelligence algorithms. In addition to their…
Image and Video Forgery DetectionCapsule-Forensics: Using Capsule Networks to Detect Forged Images and Videos
Recent advances in media generation techniques have made it easier for attackers to create forged images and videos. State-of-the-art methods enable the real-time creation of a forged version of a single video obtained f…
Image and Video Forgery Detection