StoryBlender: Inter-Shot Consistent and Editable 3D Storyboard with Spatial-temporal Dynamics

Storyboarding is a core skill in visual storytelling for film,animation, and games. However, automating this process requires a sys-tem to achieve two properties that current approaches rarely satisfy si-multaneously: inter-shot consistency and explicit editability. While 2Ddiffusion-based generators produce vivid imagery, they often suffer fromidentity drift along with limited geometric control; conversely, traditional3D animation workflows are consistent and editable but require expert-heavy, labor-intensive authoring. We present StoryBlender, a grounded3D storyboard generation framework governed by a Story-centric Re-flection Scheme. At its core, we propose StoryBlender system, whichis built on a three-stage pipeline: (1) Semantic-Spatial Grounding, toconstruct a continuity memory graph to decouple global assets fromshot-specific variables for long-horizon consistency; (2) Canonical AssetMaterialization, to instantiate entities in a unified coordinate space tomaintain visual identity; and (3) Spatial-Temporal Dynamics, to achievelayout design and cinematic evolution through visual metrics. By or-chestrating multiple agents in a hierarchical manner within a verifica-tion loop, StoryBlender iteratively self-corrects spatial hallucinations viaengine-verified feedback. The resulting native 3D scenes support direct,precise editing of cameras and visual assets while preserving unwaver-ing multi-shot continuity. Experiments demonstrate that StoryBlendersignificantly improves consistency and editability over both diffusion-based and 3D-grounded baselines. Code and dataset are available athttps://engineeringai-lab.github.io/StoryBlender.