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 21–28 of 28 papers

TitleStatusHype
Detect Fake with Fake: Leveraging Synthetic Data-driven Representation for Synthetic Image DetectionCode0
TextureCrop: Enhancing Synthetic Image Detection through Texture-based CroppingCode0
When Synthetic Traces Hide Real Content: Analysis of Stable Diffusion Image LaunderingCode0
E3: Ensemble of Expert Embedders for Adapting Synthetic Image Detectors to New Generators Using Limited DataCode0
Harnessing Machine Learning for Discerning AI-Generated Synthetic Images—0
Synthetic Image Detection: Highlights from the IEEE Video and Image Processing Cup 2022 Student Competition—0
Aggregating Layers for Deepfake DetectionCode0
The Value of AI Guidance in Human Examination of Synthetically-Generated Faces—0
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