SOTAVerified

Synthetic Image Detection

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 11–20 of 28 papers

TitleStatusHype
Harnessing the Power of Large Vision Language Models for Synthetic Image DetectionCode1
ImagiNet: A Multi-Content Benchmark for Synthetic Image DetectionCode1
Leveraging Representations from Intermediate Encoder-blocks for Synthetic Image DetectionCode1
TGIF: Text-Guided Inpainting Forgery DatasetCode1
Methods and Trends in Detecting Generated Images: A Comprehensive Review—0
LEGION: Learning to Ground and Explain for Synthetic Image Detection—0
Explainable Synthetic Image Detection through Diffusion Timestep Ensembling—0
Synthetic Image Detection: Highlights from the IEEE Video and Image Processing Cup 2022 Student Competition—0
Secret Lies in Color: Enhancing AI-Generated Images Detection with Color Distribution Analysis—0
Harnessing Machine Learning for Discerning AI-Generated Synthetic Images—0
Show:102550
← PrevPage 2 of 3Next →

No leaderboard results yet.