mlsanityData to 7 Oct 2026

ABot-3DWorld 0: A Universal World Model to Explore Any 3D Space

arXiv 2607.11673 ↗First posted 13 Jul 2026cs.CVcited by 1

On the map: World models → Video-generation world models and simulators

Abstract (arXiv)

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.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Placed in Video-generation world models and simulators, one of 11 directions in World models. Builds on 45 of its 53 references that are in the map. First posted on arXiv 13 Jul 2026.

Builds on

45 of 53 references.

Closest ancestors · 5

Same direction, newest first

  1. 2026HY-World 2.0: A Multi-Modal World Model for Reconstructing, Generating, and Simulating 3D Worlds15 Apr
  2. 2025Wan: Open and Advanced Large-Scale Video Generative Models26 Mar
  3. 2022Scalable Diffusion Models with Transformers19 Dec
  4. 2022DreamFusion: Text-to-3D using 2D Diffusion29 Sep
  5. 2017Matterport3D: Learning from RGB-D Data in Indoor Environments18 Sep

Other references · 40

  1. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
  2. 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,029
  3. 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,141
  4. 2023Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detectioncited by 3,274
  5. 2017ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenescited by 3,088
  6. 2025Qwen3-VL Technical Reportcited by 2,534
  7. 2020RAFT: Recurrent All-Pairs Field Transforms for Optical Flowcited by 2,385
  8. 2023VBench: Comprehensive Benchmark Suite for Video Generative Modelscited by 1,755
  9. 2020NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collectionscited by 1,230
  10. 20242D Gaussian Splatting for Geometrically Accurate Radiance Fieldscited by 1,061
  11. 2023Training Diffusion Models with Reinforcement Learningcited by 939
  12. 2025SAM 3: Segment Anything with Conceptscited by 835
28 more
  1. 2025Depth Anything 3: Recovering the Visual Space from Any Viewscited by 626
  2. 2023SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Renderingcited by 611
  3. 2025VACE: All-in-One Video Creation and Editingcited by 467
  4. 2024ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesiscited by 392
  5. 2025Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generationcited by 342
  6. 2025GEN3C: 3D-Informed World-Consistent Video Generation with Precise Camera Controlcited by 325
  7. 2023LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matchingcited by 290
  8. 2024PGSR: Planar-based Gaussian Splatting for Efficient and High-Fidelity Surface Reconstructioncited by 280
  9. 2025MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Detailscited by 250
  10. 20243D Gaussian Splatting as Markov Chain Monte Carlocited by 210
  11. 2025DiffusionNFT: Online Diffusion Reinforcement with Forward Processcited by 204
  12. 2024WonderWorld: Interactive 3D Scene Generation from a Single Imagecited by 197
  13. 2023SceneScape: Text-Driven Consistent Scene Generationcited by 160
  14. 2017Optimizing the Latent Space of Generative Networkscited by 157
  15. 2025Uni3C: Unifying Precisely 3D-Enhanced Camera and Human Motion Controls for Video Generationcited by 75
  16. 2025WorldMirror: Universal 3D World Reconstruction with Any-Prior Promptingcited by 60
  17. 2024360DVD: Controllable Panorama Video Generation with 360-Degree Video Diffusion Modelcited by 56
  18. 2023Diffusion360: Seamless 360 Degree Panoramic Image Generation based on Diffusion Modelscited by 49
  19. 2025DiT360: High-Fidelity Panoramic Image Generation via Hybrid Trainingcited by 24
  20. 2025PanoWan: Lifting Diffusion Video Generation Models to 360deg with Latitude/Longitude-aware Mechanismscited by 22
  21. 2026WorldStereo: Bridging Camera-Guided Video Generation and Scene Reconstruction via 3D Geometric Memoriescited by 15
  22. 2026OmniRoam: World Wandering via Long-Horizon Panoramic Video Generationcited by 15
  23. 2026Faster-GS: Analyzing and Improving Gaussian Splatting Optimizationcited by 13
  24. 2025CamPVG: Camera-Controlled Panoramic Video Generation with Epipolar-Aware Diffusioncited by 7
  25. 2026360Anything: Geometry-Free Lifting of Images and Videos to 360degcited by 7
  26. 2025CLoD-GS: Continuous Level-of-Detail via 3D Gaussian Splattingcited by 6
  27. 2025From Orbit to Ground: Generative City Photogrammetry from Extreme Off-Nadir Satellite Imagescited by 5
  28. 2026AnyRecon: Arbitrary-View 3D Reconstruction with Video Diffusion Modelcited by 4

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 1.

1 paper.

Similar, not cited

Close in wording, no citation either way

  1. 2025WorldExplorer: Towards Generating Fully Navigable 3D Scenes
  2. 2025Matrix-3D: Omnidirectional Explorable 3D World Generation
  3. 2024DreamScene360: Unconstrained Text-to-3D Scene Generation with Panoramic Gaussian Splatting
  4. 2026Pano2World: End-to-End 3D Generation via Unified Multi-View Sequences
  5. 2025PanoWorld-X: Generating Explorable Panoramic Worlds via Sphere-Aware Video Diffusion
  6. 2025EvoWorld: Evolving Panoramic World Generation with Explicit 3D Memory
  7. 2025Voyager: Long-Range and World-Consistent Video Diffusion for Explorable 3D Scene Generation
  8. 2026MoVerse: Real-Time Video World Modeling with Panoramic Gaussian Scaffold