arXiv (All)
open access
ELECT: Settling Identity Before Rendering for Scalable Story Visualization
Training-free story visualization without reference images must preserve recurring entities across frames while scaling to long narratives. Existing methods typically maintain consistency by conditioning each frame on other frames of the same story, coupling generation time, VRAM, or both to story l
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
- One Editor, Many Edits: A Unified Training-Free Framework for Diverse Video Editing#927053
- Weave Forcing: Compositional Memory Routing for Interactive Long Video Generation#1188188
- Weave Forcing: Compositional Memory Routing for Interactive Long Video Generation#1181685
- Temporal State Transport in Video Generation: Diagnosing and Correcting Spectral Imbalance#985854
- Multi-Grid Post-Training for Long-Form Multi-Shot Video Generation#973954
Record · ID 1326805
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