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Choreographing a World of Dynamic Objects

Published: January 7, 2026 | arXiv ID: 2601.04194v1

By: Yanzhe Lyu , Chen Geng , Karthik Dharmarajan and more

Potential Business Impact:

Creates realistic moving objects for movies and robots.

Business Areas:
Motion Capture Media and Entertainment, Video

Dynamic objects in our physical 4D (3D + time) world are constantly evolving, deforming, and interacting with other objects, leading to diverse 4D scene dynamics. In this paper, we present a universal generative pipeline, CHORD, for CHOReographing Dynamic objects and scenes and synthesizing this type of phenomena. Traditional rule-based graphics pipelines to create these dynamics are based on category-specific heuristics, yet are labor-intensive and not scalable. Recent learning-based methods typically demand large-scale datasets, which may not cover all object categories in interest. Our approach instead inherits the universality from the video generative models by proposing a distillation-based pipeline to extract the rich Lagrangian motion information hidden in the Eulerian representations of 2D videos. Our method is universal, versatile, and category-agnostic. We demonstrate its effectiveness by conducting experiments to generate a diverse range of multi-body 4D dynamics, show its advantage compared to existing methods, and demonstrate its applicability in generating robotics manipulation policies. Project page: https://yanzhelyu.github.io/chord

Page Count
18 pages

Category
Computer Science:
CV and Pattern Recognition