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Scene2Scene

LLM-driven 3D Spatial Blockout for Guided AI Video Synthesis

I3D 2026

Yutong Alison Mei*, Wei Cai*
* Equal contribution

Background & mechanism

Text prompts can leave character placement and camera composition ambiguous. Scene2Scene turns a narrative prompt into a lightweight 3D blockout, where creators can reposition characters and adjust the viewpoint before exporting a spatial reference for video generation.

Scene2Scene workflow: a narrative prompt, interactive 3D spatial editing, and a generated video scene
A prompt becomes an editable blockout, then a spatial reference for video generation. Figure from our Scene2Scene poster.

Interaction demo

Creators directly manipulate the scene and camera, inspect the composition, and export a preview to guide generation. This prototype recording shows the transition from an editable layout to a generated scene.

My contribution

What we studied

We examined whether direct spatial editing helped people express their intended layouts more clearly than text-only prompting. Ten participants tried both conditions and rated how closely the generated videos matched their spatial intent.

What we learned

Spatial editing received a mean intent-fidelity score of 4.5 out of 5, compared with 3.1 for text-only prompting. Eight of ten participants preferred it. Participants valued direct control, though 3D navigation added effort for those with less cinematography experience.

These findings are preliminary: the study used a small sample, subjective ratings, and a fixed condition order.