mlsanityData to 14 Oct 2026

SphericalDreamer: Generating Navigable Immersive 3D Worlds with Panorama Fusion

arXiv 2605.19974 ↗First posted 19 May 2026cs.CVcited by 2

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Abstract (arXiv)

The generation of immersive and navigable 3D environments is increasingly prevalent with the growing adoption of virtual reality and 3D content. However, recent methods face a fundamental limitation: they cannot produce 3D worlds that simultaneously (i) are navigable over long-range spatial extents and (ii) cover the complete omnidirectional field of view (360^circ horizontally and 180^circ vertically). To address this challenge, we introduce SphericalDreamer, a method for generating fully immersive and long-range 3D outdoor environments from textual prompts. Our approach is built on the generation of multiple panoramic images, which are subsequently lifted into 3D and fused together while maintaining visual and geometric consistency. SphericalDreamer produces highly detailed, fully immersive 3D environments, while substantially improving scale and navigability compared to prior approaches.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 24 of its 38 references that are in the map. First posted on arXiv 19 May 2026.

Builds on

24 of 38 references.

References · 24

  1. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,863
  2. 2023Segment Anythingcited by 8,234
  3. 2023Visual Instruction Tuningcited by 7,869
  4. 2022DreamFusion: Text-to-3D using 2D Diffusioncited by 3,025
  5. 2022Objaverse: A Universe of Annotated 3D Objectscited by 1,540
  6. 2024Depth Anything V2cited by 1,422
  7. 2021Resolution-robust Large Mask Inpainting with Fourier Convolutionscited by 738
  8. 2020GRAF: Generative Radiance Fields for 3D-Aware Image Synthesiscited by 689
  9. 2022Rodin: A Generative Model for Sculpting 3D Digital Avatars Using Diffusioncited by 309
  10. 2023Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Modelscited by 245
  11. 2023LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenescited by 231
  12. 20203D Photography using Context-aware Layered Depth Inpaintingcited by 206
12 more
  1. 2024WonderWorld: Interactive 3D Scene Generation from a Single Imagecited by 202
  2. 2023SceneScape: Text-Driven Consistent Scene Generationcited by 160
  3. 2023WonderJourney: Going from Anywhere to Everywherecited by 158
  4. 2020HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Featurescited by 105
  5. 2021UniFuse: Unidirectional Fusion for 360circ Panorama Depth Estimationcited by 92
  6. 2021360MonoDepth: High-Resolution 360deg Monocular Depth Estimationcited by 60
  7. 2024InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Priorcited by 56
  8. 2024LayerPano3D: Layered 3D Panorama for Hyper-Immersive Scene Generationcited by 53
  9. 2023EGformer: Equirectangular Geometry-biased Transformer for 360 Depth Estimationcited by 43
  10. 2022BiFuse++: Self-supervised and Efficient Bi-projection Fusion for 360 Depth Estimationcited by 35
  11. 2025A Recipe for Generating 3D Worlds From a Single Imagecited by 13
  12. 20233DGEN: A GAN-based approach for generating novel 3D models from image datacited by 1

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2 papers.