Synthetic Image Attribution

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

5 shown of 5 papers with code (7 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• LoRAX: LoRA eXpandable Networks for Continual Synthetic Image Attribution
  10 Apr 2025 1 repository listed
  Our extensive experimentation shows LoRAX outperforms or remains competitive with state-of-the-art class incremental learning algorithms on the Continual Deepfake Detection benchmark across all training scenarios and…
• Present and Future Generalization of Synthetic Image Detectors
  21 Sep 2024 1 repository listed
  The continued release of increasingly realistic image generation models creates a demand for synthetic image detectors.
• ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy
  15 Nov 2023 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  Modern computer vision offers a great variety of models to practitioners, and selecting a model from multiple options for specific applications can be challenging.
• A Siamese-based Verification System for Open-set Architecture Attribution of Synthetic Images
  19 Jul 2023 1 repository listed
  In the second setting, the system verifies a claim about the architecture used to generate a synthetic image, utilizing one or multiple reference images generated by the claimed architecture.
• ArtiFact: A Large-Scale Dataset with Artificial and Factual Images for Generalizable and Robust Synthetic Image Detection
  23 Feb 2023 1 repository listed
  Synthetic image generation has opened up new opportunities but has also created threats in regard to privacy, authenticity, and security.

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.