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Found 22 papers, 13 papers with code
URSimulator: Human-Perception-Driven Prompt Tuning for Enhanced Virtual Urban Renewal via Diffusion Models
Effective urban renewal efforts can transform these environments, enhancing their appeal and livability.
Dense Feature Interaction Network for Image Inpainting Localization
Image inpainting, which is the task of filling in missing areas in an image, is a common image editing technique.
ParallelEdits: Efficient Multi-Aspect Text-Driven Image Editing with Attention Grouping
This dataset is a benchmark for evaluating text-driven image editing methods in multifaceted scenarios.
Explicit Correlation Learning for Generalizable Cross-Modal Deepfake Detection
With the rising prevalence of deepfakes, there is a growing interest in developing generalizable detection methods for various types of deepfakes.
Exposing Text-Image Inconsistency Using Diffusion Models
In the battle against widespread online misinformation, a growing problem is text-image inconsistency, where images are misleadingly paired with texts with different intent or meaning.
DeepFake-O-Meter v2.0: An Open Platform for DeepFake Detection
Furthermore, it serves as an evaluation and benchmarking platform for researchers in digital media forensics to compare the performance of multiple algorithms on the same input.
Can ChatGPT Detect DeepFakes? A Study of Using Multimodal Large Language Models for Media Forensics
DeepFakes, which refer to AI-generated media content, have become an increasing concern due to their use as a means for disinformation.
Exposing Lip-syncing Deepfakes from Mouth Inconsistencies
A lip-syncing deepfake is a digitally manipulated video in which a person's lip movements are created convincingly using AI models to match altered or entirely new audio.
Integrating Audio-Visual Features for Multimodal Deepfake Detection
Deepfakes are AI-generated media in which an image or video has been digitally modified.
Improving Fairness in Deepfake Detection
Despite the development of effective deepfake detectors in recent years, recent studies have demonstrated that biases in the data used to train these detectors can lead to disparities in detection accuracy across different races and genders.
UPDExplainer: an Interpretable Transformer-based Framework for Urban Physical Disorder Detection Using Street View Imagery
Experimental results on the re-annotated Place Pulse 2. 0 dataset demonstrate promising detection performance of the proposed method, with an accuracy of 79. 9%.
AutoSplice: A Text-prompt Manipulated Image Dataset for Media Forensics
To achieve this, we propose a new approach that leverages the DALL-E2 language-image model to automatically generate and splice masked regions guided by a text prompt.
GLFF: Global and Local Feature Fusion for AI-synthesized Image Detection
To address this issue, we propose a Global and Local Feature Fusion (GLFF) framework to learn rich and discriminative representations by combining multi-scale global features from the whole image with refined local features from informative patches for AI synthesized image detection.
Fusion-based Few-Shot Morphing Attack Detection and Fingerprinting
Our technical contributions include: 1) We propose a fusion-based few-shot learning (FSL) method to learn discriminative features that can generalize to unseen morphing attack types from predefined presentation attacks; 2) The proposed FSL based on the fusion of the PRNU model and Noiseprint network is extended from binary MAD to multiclass morphing attack fingerprinting (MAF).
Joint Learning of Deep Texture and High-Frequency Features for Computer-Generated Image Detection
Based on the finding that multiple different modules in image acquisition will lead to different sensitivity inconsistencies to the convolutional neural network (CNN)-based rendering in images, we propose a deep texture rendering module for texture difference enhancement and discriminative texture representation.
A Saliency-Guided Street View Image Inpainting Framework for Efficient Last-Meters Wayfinding
However, due to the large diversity of geographic context and acquisition conditions, the captured SVI always contains various distracting objects (e. g., pedestrians and vehicles), which will distract human visual attention from efficiently finding the destination in the last few meters.
Fusing Global and Local Features for Generalized AI-Synthesized Image Detection
Specifically, we design a two-branch model to combine global spatial information from the whole image and local informative features from multiple patches selected by a novel patch selection module.
Detection of Genuine and Posed Facial Expressions of Emotion: A Review
Facial expressions of emotion play an important role in human social interactions.
3D Face Anti-spoofing with Factorized Bilinear Coding
We have witnessed rapid advances in both face presentation attack models and presentation attack detection (PAD) in recent years.
Spoofing and Anti-Spoofing with Wax Figure Faces
In this work, we introduce a wax figure face database (WFFD) as a novel and super-realistic 3D face presentation attack.
A database for face presentation attack using wax figure faces
Compared to 2D face presentation attacks (e. g. printed photos and video replays), 3D type attacks are more challenging to face recognition systems (FRS) by presenting 3D characteristics or materials similar to real faces.
