SOTAVerified

Synthetic Image Attribution

Determine the source or origin of a generated image, such as identifying the model or tool used to create it. This information can be useful for detecting copyright infringement or for investigating digital crimes.

Papers

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Showing 1–7 of 7 papers

TitleStatusHype
ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet AccuracyCode1
ArtiFact: A Large-Scale Dataset with Artificial and Factual Images for Generalizable and Robust Synthetic Image DetectionCode1
LoRAX: LoRA eXpandable Networks for Continual Synthetic Image AttributionCode0
Present and Future Generalization of Synthetic Image DetectorsCode0
A Siamese-based Verification System for Open-set Architecture Attribution of Synthetic ImagesCode0
BOSC: A Backdoor-based Framework for Open Set Synthetic Image Attribution—0
WILD: a new in-the-Wild Image Linkage Dataset for synthetic image attribution—0
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