AdaCorrection: Adaptive Offset Cache Correction for Accurate Diffusion Transformers

ArXi:2602.13357v2 Announce Type: replace-cross Diffusion Transformers (DiTs) achieve state-of-the-art performance in high-fidelity image and video generation but suffer from expensive inference due to their iterative denoising structure. While prior methods accelerate sampling by caching intermediate features, they rely on static reuse schedules or coarse-grained heuristics, which often lead to temporal drift and cache misalignment that significantly degrade generation quality. We