AnchorSync: Global Consistency Optimization for Long Video Editing

TL;DR

AnchorSync is a diffusion-based framework that improves long video editing by ensuring global consistency and temporal coherence through sparse anchor editing and interpolation, outperforming previous methods.

Contribution

It introduces a novel diffusion-based approach that decouples long video editing into anchor frame editing and interpolation, enhancing quality and stability.

Findings

Produces more coherent long videos with fewer artifacts

Outperforms prior methods in visual quality and temporal stability

Effective in maintaining global consistency across long sequences

Abstract

Editing long videos remains a challenging task due to the need for maintaining both global consistency and temporal coherence across thousands of frames. Existing methods often suffer from structural drift or temporal artifacts, particularly in minute-long sequences. We introduce AnchorSync, a novel diffusion-based framework that enables high-quality, long-term video editing by decoupling the task into sparse anchor frame editing and smooth intermediate frame interpolation. Our approach enforces structural consistency through a progressive denoising process and preserves temporal dynamics via multimodal guidance. Extensive experiments show that AnchorSync produces coherent, high-fidelity edits, surpassing prior methods in visual quality and temporal stability.