The World is Your Canvas

Painting Promptable Events with Reference Images, Trajectories, and Text

Abstract

We present WorldCanvas, a framework for promptable world events that enables rich, user-directed simulation by combining text, trajectories, and reference images. Unlike text-only approaches and existing trajectory-controlled image-to-video methods, our multimodal approach combines trajectories—encoding motion, timing, and visibility—with natural language for semantic intent and reference images for visual grounding of object identity, enabling the generation of coherent, controllable events that include multi-agent interactions, object entry/exit, reference-guided appearance and counterintuitive events. The resulting videos demonstrate not only temporal coherence but also emergent consistency, preserving object identity and scene despite temporary disappearance. By supporting expressive world events generation, WorldCanvas advances world models from passive predictors to interactive, user-shaped simulators.

Event Branches

Results Gallery

Subject & Camera motion

Interactive Actions

Subject appearance & disappearance

Reference-Image based generation

Text-Trajectory correspondence

Visual Memory

Physical plausibility & Causal reasoning & Prediction

Counterfactual generation

Failure cases

Comparisons