Diffusion Based Video Editing

Diffusion-based video editing leverages the power of diffusion models to manipulate video content based on text prompts, aiming to achieve high-fidelity edits while maintaining temporal consistency. Current research focuses on improving the quality and controllability of edits, addressing challenges such as handling complex objects (especially humans), preserving high-frequency details, and ensuring consistent motion across frames. This is achieved through various techniques including decoupled representations of humans and backgrounds, frequency-aware denoising processes, and the incorporation of optical flow or other motion information into the editing process. The resulting advancements have significant implications for various applications, including film editing, special effects, and content creation.