arXiv (All)
open access
Heuristics are Not Enough: Calibrated and Corrected Caching for Video Diffusion Acceleration
Feature caching has become a mainstream training-free strategy for accelerating video diffusion models by reusing intermediate outputs across denoising steps. However, existing adaptive methods rely on heuristic difference measures misaligned with actual generation quality, employ a single global th
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
- Sol-H3: Recursive Self-Improvement for MiniMax-H3 Inference Acceleration on Sol-Engine across Cloud and Edge#1129711
- Spectral-Guided Diffusion: Accelerating Inference via Static Spectral Layer Scheduling#1077433
- 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
Record · ID 1328135
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