English

SphericalDreamer: Generating Navigable Immersive 3D Worlds with Panorama Fusion

Computer Vision and Pattern Recognition 2026-05-20 v1

Abstract

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 (360360^\circ horizontally and 180180^\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.

Keywords

Cite

@article{arxiv.2605.19974,
  title  = {SphericalDreamer: Generating Navigable Immersive 3D Worlds with Panorama Fusion},
  author = {Antoine Schnepf and Karim Kassab and Flavian Vasile and Andrew Comport},
  journal= {arXiv preprint arXiv:2605.19974},
  year   = {2026}
}

Comments

Accepted at ICML 2026. Project page available at https://sphericaldreamer.github.io