Agentic Image Generation in the Wild
Agentic image generation pairs an image generator with a search agent that retrieves references from the web, extending generation beyond the generator's training data.
ProofPaper ↗
Key points
- Real-world requests, however, often concern entities that appeared only days ago.
- We call this setting Image Generation in the Wild.
- To study this setting, we build an automated pipeline that synthesizes prompts from recent headlines and keeps only those whose real search results are highly confusing, yielding requests that are hard to solve yet natural to ask.
- We then propose Locate-Corroborate-Isolate, a paradigm in which the agent first pins down the target's identity through text search, then verifies candidate images against multiple sources, and finally crops a clean reference for the generator.
Sources (1)
- [1]Agentic Image Generation in the WildarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 16, 10:41 AM
Agentic image generation pairs an image generator with a search agent that retrieves references from the web, extending generation beyond the generator's training data.
Real-world requests, however, often concern entities that appeared only days ago.
Extractive summary: sentences quoted from the sources.
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