AI RESEARCH
Stepper: Stepwise Immersive Scene Generation with Multiview Panoramas
arXiv CS.CV
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ArXi:2603.28980v1 Announce Type: new The synthesis of immersive 3D scenes from text is rapidly maturing, driven by novel video generative models and feed-forward 3D reconstruction, with vast potential in AR/VR and world modeling. While panoramic images have proven effective for scene initialization, existing approaches suffer from a trade-off between visual fidelity and explorability: autoregressive expansion suffers from context drift, while panoramic video generation is limited to low resolution.