StoryBlender: Inter-Shot Consistent and Editable 3D Storyboard with Spatial-temporal Dynamics
Summary: arXiv:2604.03315v1 Announce Type: cross
Storyboarding is an essential skill in visual storytelling for film, animation, and games. However, the automation of this intricate process presents a challenge due to the need for a system that simultaneously achieves two critical properties: inter-shot consistency and explicit editability. Current solutions often struggle to balance these requirements, leading to gaps in effectiveness.
While 2D diffusion-based generators are capable of producing vivid imagery, they frequently encounter issues such as identity drift and limited geometric control. Conversely, traditional 3D animation workflows offer consistency and editability but are often labor-intensive and require expertise that is not readily available.
Introducing StoryBlender
To address these challenges, we present StoryBlender—a sophisticated 3D storyboard generation framework guided by a Story-centric Reflection Scheme. The StoryBlender system is designed around a three-stage pipeline that enhances the storytelling process:
- Semantic-Spatial Grounding: This stage constructs a continuity memory graph that decouples global assets from shot-specific variables, ensuring long-horizon consistency across the storyboard.
- Canonical Asset Materialization: Here, entities are instantiated in a unified coordinate space, which helps in maintaining visual identity throughout the different shots.
- Spatial-Temporal Dynamics: This crucial stage focuses on achieving effective layout design and cinematic evolution through the application of visual metrics.
Innovative Features of StoryBlender
StoryBlender orchestrates multiple agents in a hierarchical manner within a verification loop to iteratively self-correct any spatial hallucinations that may arise. This engine-verified feedback mechanism enhances the reliability of the generated content.
The native 3D scenes produced by StoryBlender allow for direct and precise editing of cameras and visual assets, all while maintaining unwavering multi-shot continuity. This level of control empowers creators to refine their stories efficiently and effectively.
Experimental Results
Our experiments demonstrate that StoryBlender significantly outperforms both diffusion-based and 3D-grounded baselines in terms of consistency and editability. The results of these tests indicate that StoryBlender not only fulfills the needs of modern visual storytellers but also sets a new standard in the realm of storyboard generation.
Availability
For those interested in exploring the capabilities of StoryBlender, code, data, and a demonstration video will be made available at https://engineeringai-lab.github.io/StoryBlender/. We invite filmmakers, animators, and game developers to leverage this innovative tool in their creative processes.