arXiv (All)
open access
One Threshold Is Not Enough: Prompt-Invariant Caching Schedules for Video Diffusion
Video diffusion models remain expensive because denoising repeatedly evaluates a costly model backbone. Dynamic caching methods like TeaCache, EasyCache, and DiCache reduce this cost by reusing prior outputs while an accumulated drift signal remains below a threshold $τ$. Although existing methods i
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
- Where Compute Matters: Heterogeneous Attention for Efficient Video Diffusion#1105608
- Video transmission over constrained bandwidth channels#1020635
- AnyFlow: Any-Step Video Diffusion Model with On-Policy Flow Map Distillation#182755
- AnyFlow: Any-Step Video Diffusion Model with On-Policy Flow Map Distillation#180694
- Towards extreme video compression using general world knowledge#1091934
Record · ID 1116366
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