arXiv (All)
open access
ManipShield: A Unified Framework for Image Manipulation Detection, Localization and Explanation
With the rapid advancement of generative models, powerful image editing methods now enable diverse and highly realistic image manipulations that far surpass traditional deepfake techniques, posing new challenges for manipulation detection. Existing image manipulation detection and localization (IMDL
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Revisiting Cross-Reconstruction for Generalizable Deepfake Detection#1156816
- RLDF: A Region-Level Deepfake Dataset and Benchmark for Partial-Face Manipulation Detection#1356774
- Official Review · NEURIPS 2024#787081
- From Detection to Localization: A Unified Forensics Framework for Fully Synthetic and Tampered Images#924788
- From Detection to Localization: A Unified Forensics Framework for Fully Synthetic and Tampered Images#920554
Record · ID 1342361
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive