Tuning-Free Video Editing via Structural Noise Initialization

A new tuning-free, instruction-based video editing framework is proposed, introducing a Structural Noise Initialization Strategy (SNIS) and a Noise Guidance Mechanism (NGM). SNIS assigns higher noise levels to edited regions for content change and lower noise to unedited areas for consistency. NGM integrates noisy latent information to guide denoising, preserving unedited content and visual coherence. The method avoids extensive data collection and model training, addressing underutilization of noisy latent information in existing tuning-free approaches.