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GraphVid proposes interaction-graph control for multi-object video generation

Researchers introduced GraphVid, an image-to-video model that controls multiple subjects through relationship graphs instead of requiring users to draw complex trajectories.

07/24/20261 sources reviewed

Quick summary

Objects and their interactions are represented as a graph used to condition video generation.
The researchers also propose GraphVid-Bench, an interaction-focused dataset with relational annotations.
The paper reports up to 39.9% lower FID and 37.6% lower FVD than Motion-I2V.

WHAT HAPPENED

What happened?

Researchers introduced GraphVid, an image-to-video model that controls multiple subjects through relationship graphs instead of requiring users to draw complex trajectories.

A graph interface can express scene semantics more directly than pixel trajectories. The results are author-reported, however, and need reproduction across longer clips, occlusion and practical editing workflows.

WHY IT MATTERS

Why does it matter?

Structuring interactions that are hard to express in text could make generated video easier to control and revise.

WHO SHOULD CARE

Who should care?

Video creatorsGenerative-video researchersCreative-tool developers

AIZIGOO VIEW

AIZIGOO view

Performance comparisons are author-reported results from a preprint submitted July 23, 2026 and have not been peer reviewed.