World models that support controllable and editable spatiotemporal environments are valuable for robotics, enabling scalable training data, repro ducible evaluation, and flexible task design. While recent text-to-video models generate realistic dynam ics, they are constrained to 2D views and offer limited interaction. We introduce MorphoSim, a language guided framework that generates 4D scenes with multi-view consistency and object-level controls. From natural language instructions, MorphoSim produces dynamic environments where objects can be directed, recolored, or removed, and scenes can be observed from arbitrary viewpoints. The framework integrates trajectory-guided generation with feature field dis tillation, allowing edits to be applied interactively without full re-generation. Experiments show that Mor phoSim maintains high scene fidelity while enabling controllability and editability. The code is available at https://github.com/eric-ai-lab/Morph4D.
@article{arxiv.2510.04390,
title = {MorphoSim: An Interactive, Controllable, and Editable Language-guided 4D World Simulator},
author = {Xuehai He and Shijie Zhou and Thivyanth Venkateswaran and Kaizhi Zheng and Ziyu Wan and Achuta Kadambi and Xin Eric Wang},
journal= {arXiv preprint arXiv:2510.04390},
year = {2025}
}