Paper Detail
Mingchao Sun, Luyang Tang, Yu Liu, Xu Yan, Zhan Li, Yunwei Zhang, Fei Yu, Zengye Ge, Yumin Liu, Jiacheng Zhang, Yongchang Zhang, Jiawei Zhang, Zhicheng Liu, Zhongxu Sun, Tianjian Ouyang, Wenzheng Chen, Shixing Yang, Nianfei Fan, Guodong Sun, Huan Li, Zheng Zhou, Yongze Li, Yingliang Peng, Mengmeng Du, Yuan Liu, Haozhe Shi, Chunnuo Gong, Chengzhen Yu, Chunxue Jia, Yang Liu, Shiying Zeng, Junnan Lai, Hang Zhang, Ning Guo, Baoquan Chen, Mu Xu, Hongyu Pan
We present ABot-3DWorld 0, a universal multimodal 3D world model that turns text, image, and video inputs into high-fidelity, explorable 3D worlds. At the heart of our framework is a unified Spatial Generative Primitive (SGP), a compact tuple of a high-quality panorama and a spatial point cloud that delivers an efficient description of any 3D space. Multimodal inputs are first lifted into this primitive; a 3D-consistent panoramic video generator then explores the primitive along a planned trajectory; finally, our panoramic video reconstruction engine converts the generated video into a clean, photorealistic 3D Gaussian Splatting (3DGS) world. This pipeline covers two regimes: rich inputs (multi-view sets, casual video) are lifted into the SGP through a geometry-rigorous recovery that mirrors the observed scene, while a single image or sentence is completed generatively into a creative world. The result is one low-barrier engine for general 3D content creation that further anchors generated worlds to geographic points of interest, enabling map-native spatial exploration at consumer scale. Experiments show that ABot-3DWorld 0 sets the state of the art among open-source methods and demonstrates stronger scene fidelity than Marble under rich multimodal inputs.
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@article{sun2026abot,
title = {ABot-3DWorld 0: A Universal World Model to Explore Any 3D Space},
author = {Mingchao Sun and Luyang Tang and Yu Liu and Xu Yan and Zhan Li and Yunwei Zhang and Fei Yu and Zengye Ge and Yumin Liu and Jiacheng Zhang and Yongchang Zhang and Jiawei Zhang and Zhicheng Liu and Zhongxu Sun and Tianjian Ouyang and Wenzheng Chen and Shixing Yang and Nianfei Fan and Guodong Sun and Huan Li and Zheng Zhou and Yongze Li and Yingliang Peng and Mengmeng Du and Yuan Liu and Haozhe Shi and Chunnuo Gong and Chengzhen Yu and Chunxue Jia and Yang Liu and Shiying Zeng and Junnan Lai and Hang Zhang and Ning Guo and Baoquan Chen and Mu Xu and Hongyu Pan},
year = {2026},
abstract = {We present ABot-3DWorld 0, a universal multimodal 3D world model that turns text, image, and video inputs into high-fidelity, explorable 3D worlds. At the heart of our framework is a unified Spatial Generative Primitive (SGP), a compact tuple of a high-quality panorama and a spatial point cloud that delivers an efficient description of any 3D space. Multimodal inputs are first lifted into this primitive; a 3D-consistent panoramic video generator then explores the primitive along a planned trajec},
url = {https://arxiv.org/abs/2607.11673},
keywords = {cs.CV},
eprint = {2607.11673},
archiveprefix = {arXiv},
}
{}