Google DeepMind has announced the introduction of a revolutionary "Precise Editing" feature for its leading AI video generation model, Veo. This feature allows users to easily add or remove elements such as props, characters, or background objects in existing videos through simple text prompts, while intelligently reconstructing the scene to ensure physical realism and visual coherence, perfectly preserving the original video's integrity.
According to AIbase, this update marks a shift in AI video editing from rough generation to refined post-processing, significantly improving production efficiency for creators on the Flow platform. The precise editing feature of Veo is part of the Veo3.1 upgrade, specifically designed for Google's AI film-making tool Flow. It utilizes advanced generative AI algorithms that consider lighting, proportions, object interactions, and motion trajectories to achieve seamless modifications.
For example, users can instruct "add a yellow school bus to the scene" or "remove a pedestrian by the roadside," and the model will automatically fill in the background, adjust shadows, and maintain consistent camera movement, avoiding common issues like "frame jumps" or unnatural traces found in traditional editing software. In the demonstration video, the feature showcased the entire process from static images to dynamic multi-shot storytelling, allowing users to iterate content in just a few seconds without re-shooting or manual masking.
According to AIbase analysis, the core innovations of Veo3.1 include enhanced audio synchronization, multi-prompt scene generation, and native 1080p output, supporting video length extension up to one minute. This makes precise editing not only suitable for short film creators but also applicable to advertising, marketing, and corporate training scenarios. For instance, in Flow, users can upload "components" (such as predefined characters or style references) and then expand shots through precise editing, achieving automated transitions from single frames to complete storyboards. Compared to the previous version Veo3, this version improves character consistency and narrative control by over 30%, with benchmark tests showing an editing accuracy rate of 95%, significantly surpassing competitors such as OpenAI's Sora2. "Precise Editing truly democratizes AI video creation, enabling users without professional skills to achieve Hollywood-level edits,"
