MorphoSim: An Interactive, Controllable, and Editable Language-guided 4D World Simulator
He, Xuehai, Zhou, Shijie, Venkateswaran, Thivyanth, Zheng, Kaizhi, Wan, Ziyu, Kadambi, Achuta, Wang, Xin Eric
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Oct-7-2025
- Country:
- North America > United States > California (0.46)
- Genre:
- Research Report > New Finding (0.46)
- Technology:
- Information Technology > Artificial Intelligence
- Vision (1.00)
- Representation & Reasoning (0.88)
- Natural Language > Large Language Model (0.48)
- Machine Learning > Neural Networks (0.46)
- Information Technology > Artificial Intelligence