DiffusionForensics数据集的组成。它包括来自LSUN-Bedroom和ImageNet的真实图像,并从相应的预训练扩散模型生成图像。根据扩散模型的类别,将包含的图像分为无条件、条件和text2image三类。 数据集构成: 所以创建一个全新的数据集: DiffusionForensics数据集由十个子集组成,用于进行全面的
作者创建了DiffusionForensics数据集,大致分为LSUNBedroom和ImageNet两类。 DiffusionForensics数据集包括来自上述两个数据集的真实图像,并且还有从相应的预训练扩散模型生成的图像。根据扩散模型的类别,将包含的图像分为无条件、条件和文生图三类。 对于LSUNBedroom数据集,其中4个子集图像由无条件扩散模型生成(ADM、DDPM、iD...
Latent Reconstruction Error(LaRE)是一种基于潜在空间重建误差的特征,用于检测由扩散模型生成的图像。在扩散模型的生成过程中,真实图像和生成图像在潜在空间中的重建难度存在差异。真实图像通常比生成图像更难重建,因此,通过计算重建误差,可以区分真实图像和生成图像。 2. 阐述diffusion-generated image detection的概念 Diff...
This improvement is consistent across diverse downstream tasks including image classification, detection, segmentation and image-text retrieval. Meanwhile, by utilizing Free-ATM, we can accelerate the pretraining on synthetic images significantly and close the performance gap between representation learning ...
This repository contains the DiFF dataset proposed in our paper,Diffusion Facial Forgery Detection Abstract Detecting diffusion-generated images has recently grown into an emerging research area. Existing diffusion-based datasets predominantly focus on general image generation. However, facial forgeries, which...
Paper tables with annotated results for HFI: A unified framework for training-free detection and implicit watermarking of latent diffusion model generated images
setup.py Add CLI/GUI detection mechanism May 6, 2024 win.spec Add a separate CLI executable for Windows May 10, 2024 Repository files navigation README LicenseStable Diffusion Prompt Reader简体中文 | EnglishA simple standalone viewer for reading prompt from Stable Diffusion generated image outside...
Luo et al. [18] propose a framework that formulates object detection and association jointly as a consistent denoising diffusion process from paired noise boxes to paired ground-truth boxes. Meng et al. [14] propose SDEdit for image editing based on stochastic differential equation (SDE). ...
Integrating 3D point cloud and image fusion into flying car detection systems is essential for enhancing both safety and operational efficiency. Accurate e... X Feng,R Zhang,Z Chu,... - SAE International 被引量: 0发表: 0年 加载更多站...
This study provides a comprehensive evaluation of counterfeit facial image detection, focusing on the generalizability and robustness of various detection methods. Using a dataset comprising real images from CelebA-HQ and synthetic images generated by five state-of-the-art models ...