Synthetic Image Forensics Research Map

A curated research map of papers, datasets, benchmarks, and institutions in AI-generated image forensics.

Current view

Papers by Forensic Task

Loading…

Top Mapped Institutions

Loading…

Papers by Year

Loading…

GitHub Repository

Maintained by Meiling Li

Institution Records
0
Unique Papers
0
Unique Institutions
0
Countries
0
Size: unique papers in view
Color: dominant task Detection Source Attribution Localization / Mixed Unknown

Loading research map data...

Explore the map: Hover over an institution for a preview; click or tap a circle to inspect its papers, or select a result to open Paper Details.

Filtered institution records represent paper–institution links; unique papers include papers without mapped institutions.

  • Forensic Task: Detection identifies generated images; Source Attribution identifies their origin; Localization identifies where content was generated or manipulated.
  • Image Scope: the kind of image generation or manipulation studied.
  • Research Type: the contribution, such as a method, dataset, benchmark, or survey.
  • Institution Records are paper–institution links; Unique Papers lists each paper once. A paper may have multiple institution records. Papers without mapped institutions remain in the paper view.
  • Circles: size shows unique papers in the current view; color shows the dominant forensic task. Localization and Mixed / multiple tasks share a color.
  • Current view: filters narrow the results, Copy link shares the current state, and Export CSV downloads the current results.

About, Methodology, and Scope · Methodology

Unique Papers

Loading…

View:
Sort By

    About, Methodology, and Scope

    Synthetic Image Forensics Research Map is an academic resource for exploring papers and affiliations, curated from source metadata and manual review.

    Scope

    AI-generated / synthetic-image forensics: Detection, Source Attribution, and Localization, focused on fully generated images. Generative editing is included when clearly tied to synthetic-image forensics. Generic deepfake research, watermarking, active provenance, fingerprint embedding, and unrelated classical manipulation work are not automatically in scope.

    Records and Mapping

    Author affiliations are preserved per paper. Only institutions with valid mapped locations appear as markers, so one paper may appear at multiple institutions or remain available only in the paper list.

    Explore and Report

    Filters and Export CSV apply to the current results. Report missing papers or metadata problems through GitHub Issues.