SOTAVerified

Synthetic Image Detection

Identify if the image is real or generated/manipulated by any generative models (GAN or Diffusion).

Papers

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Showing 1–10 of 28 papers

TitleStatusHype
Orthogonal Subspace Decomposition for Generalizable AI-Generated Image DetectionCode5
Improving Synthetic Image Detection Towards Generalization: An Image Transformation PerspectiveCode2
SIDBench: A Python Framework for Reliably Assessing Synthetic Image Detection MethodsCode2
CO-SPY: Combining Semantic and Pixel Features to Detect Synthetic Images by AICode1
ImagiNet: A Multi-Content Benchmark for Synthetic Image DetectionCode1
TGIF: Text-Guided Inpainting Forgery DatasetCode1
Harnessing the Power of Large Vision Language Models for Synthetic Image DetectionCode1
Bi-LORA: A Vision-Language Approach for Synthetic Image DetectionCode1
Leveraging Representations from Intermediate Encoder-blocks for Synthetic Image DetectionCode1
Forgery-aware Adaptive Transformer for Generalizable Synthetic Image DetectionCode1
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