arXiv (All)
open access
Agentic Visual Generation: From Generative Models to Agentic Control
Visual generation is evolving from generative models used through a single invocation into agentic control processes that can plan, select tools, inspect intermediate synthesized outputs, revise failures, and reuse prior experience. In most existing systems, the controller is an LLM or VLM, while vi
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
- Safe Task Planning with Long-Term Graph Memory for Embodied Agents#985797
- Navigating Sparse Evidence: Agentic Visual RAG via Explicit Context Selection and Consolidation#1109846
- Dual-Latent Memory Routing for Vision-Language Reasoning#972600
- How Do Software Professionals Evaluate AI-Generated Code? (Registered Report)#361516
- From Thought to Senses: Assessing the Relationship Between the Generation Effect and Multisensory Facilitation#276738
Record · ID 974850
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