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 threshold that ignores...