Papers Image Forensics
“Image Forensics” 태그가 달린 논문 108편 · 필터 해제
Swin Transformer for Robust CGI Images Detection: Intra- and Inter-Dataset Analysis across Multiple Color Spaces
This study aims to address the growing challenge of distinguishing computer-generated imagery (CGI) from authentic digital images across three different color spaces; RGB, YCbCr, and HSV. Given the limitations of existin…
Data AugmentationDomain Generalizationimage-classificationImage Classification+1Can ChatGPT Perform Image Splicing Detection? A Preliminary Study
Multimodal Large Language Models (MLLMs) like GPT-4V are capable of reasoning across text and image modalities, showing promise in a variety of complex vision-language tasks. In this preliminary study, we investigate the…
Image ForensicsFakeScope: Large Multimodal Expert Model for Transparent AI-Generated Image Forensics
The rapid and unrestrained advancement of generative artificial intelligence (AI) presents a double-edged sword: while enabling unprecedented creativity, it also facilitates the generation of highly convincing deceptive …
Image ForensicsImage GenerationCamera Model Identification with SPAIR-Swin and Entropy based Non-Homogeneous Patches
Source camera model identification (SCMI) plays a pivotal role in image forensics with applications including authenticity verification and copyright protection. For identifying the camera model used to capture a given i…
Image ForensicsiFADIT: Invertible Face Anonymization via Disentangled Identity Transform
Face anonymization aims to conceal the visual identity of a face to safeguard the individual's privacy. Traditional methods like blurring and pixelation can largely remove identifying features, but these techniques signi…
DisentanglementFace AnonymizationImage ForensicsFIRE: Robust Detection of Diffusion-Generated Images via Frequency-Guided Reconstruction Error
The rapid advancement of diffusion models has significantly improved high-quality image generation, making generated content increasingly challenging to distinguish from real images and raising concerns about potential m…
Image ForensicsIs JPEG AI going to change image forensics?
In this paper, we investigate the counter-forensic effects of the new JPEG AI standard based on neural image compression, focusing on two critical areas: deepfake image detection and image splicing localization. Neural i…
Face SwappingImage CompressionImage ForensicsImage GenerationOmni-IML: Towards Unified Image Manipulation Localization
Existing Image Manipulation Localization (IML) methods mostly rely heavily on task-specific designs, making them perform well only on the target IML task, while joint training on multiple IML tasks causes significant per…
DecoderDescriptiveImage ForensicsImage Manipulation+1A Taxonomy of Miscompressions: Preparing Image Forensics for Neural Compression
Neural compression has the potential to revolutionize lossy image compression. Based on generative models, recent schemes achieve unprecedented compression rates at high perceptual quality but compromise semantic fidelit…
Image CompressionImage ForensicsSwin Transformer for Robust Differentiation of Real and Synthetic Images: Intra- and Inter-Dataset Analysis
\textbf{Purpose} This study aims to address the growing challenge of distinguishing computer-generated imagery (CGI) from authentic digital images in the RGB color space. Given the limitations of existing classification …
Domain Generalizationimage-classificationImage ClassificationImage ForensicsDigital Image Forensics: A quantitative & qualitative comparison between State-of-the-art-AI and Traditional Techniques for detection and localization of image manipulations
With the rise of realistic AI-generated images and continuously advancing photo-editing software, it has become increasingly difficult to reliably distinguish between authentic and manipulated images. Using Digital Image…
Detecting Image ManipulationImage ForensicsImage Forgery DetectionImage Manipulation+4M^3:Manipulation Mask Manufacturer for Arbitrary-Scale Super-Resolution Mask
In the field of image manipulation localization (IML), the small quantity and poor quality of existing datasets have always been major issues. A dataset containing various types of manipulations will greatly help improve…
Change DetectionImage ForensicsImage ManipulationImage Manipulation Localization+1Recompression Based JPEG Tamper Detection and Localization Using Deep Neural Network Eliminating Compression Factor Dependency
In this work, we deal with the problem of re compression based image forgery detection, where some regions of an image are modified illegitimately, hence giving rise to presence of dual compression characteristics within…
Image ForensicsImage Forgery DetectionImage ManipulationDeep Image Restoration For Image Anti-Forensics
While image forensics is concerned with whether an image has been tampered with, image anti-forensics attempts to prevent image forensics methods from detecting tampered images. The competition between these two fields s…
Data AugmentationDeep LearningImage ForensicsImage Forgery Detection+3Device (In)Dependence of Deep Learning-based Image Age Approximation
The goal of temporal image forensic is to approximate the age of a digital image relative to images from the same device. Usually, this is based on traces left during the image acquisition pipeline. For example, several …
Deep LearningImage ForensicsFusion Transformer with Object Mask Guidance for Image Forgery Analysis
In this work, we introduce OMG-Fuser, a fusion transformer-based network designed to extract information from various forensic signals to enable robust image forgery detection and localization. Our approach can operate w…
Image ForensicsImage Forgery DetectionTowards Effective Image Forensics via A Novel Computationally Efficient Framework and A New Image Splice Dataset
Splice detection models are the need of the hour since splice manipulations can be used to mislead, spread rumors and create disharmony in society. However, there is a severe lack of image splicing datasets, which restri…
Image ForensicsAn Effective Image Copy-Move Forgery Detection Using Entropy Information
Image forensics has become increasingly crucial in our daily lives. Among various types of forgeries, copy-move forgery detection has received considerable attention within the academic community. Keypoint-based algorith…
Image ForensicsKeypoint DetectionMMFusion: Combining Image Forensic Filters for Visual Manipulation Detection and Localization
Recent image manipulation localization and detection techniques typically leverage forensic artifacts and traces that are produced by a noise-sensitive filter, such as SRM or Bayar convolution. In this paper, we showcase…
Detecting Image ManipulationImage ForensicsImage Forgery DetectionImage Manipulation+2PatchCraft: Exploring Texture Patch for Efficient AI-generated Image Detection
Recent generative models show impressive performance in generating photographic images. Humans can hardly distinguish such incredibly realistic-looking AI-generated images from real ones. AI-generated images may lead to …
Image Forensics