arXiv (All)
open access
Toward Generalized Detection of Synthetic Media: Limitations, Challenges, and the Path to Multimodal Solutions
Artificial intelligence (AI) in media has advanced rapidly over the last decade. The introduction of Generative Adversarial Networks (GANs) improved the quality of photorealistic image generation. Diffusion models later brought a new era of generative media. These advances made it difficult to separ
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
- Media Intelligence Platform: Multimodal Detection of Synthetic and Manipulated Content#1411949
- Official Review · ICLR 2024#787221
- Smoothing the Semantic Landscape: Generalizable AI-Generated Image Detection via Text-Induced Flatness#1116218
- Relative Patch Response Learning for Generalizable AI-Generated Image Detection#1249156
- ASAP: Visual Analytics for Identifying and Analyzing Image Patterns in AI-generated Images#1063582
Record · ID 1411734
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