PanoWorld: Geometry-Consistent Panoramic Video World Modeling
PanoWorld is a new model for generating geometry-consistent panoramic videos from a single image and caption. The model addresses issues of depth inconsistency and motion plausibility that are common in existing methods. By framing the problem as a geometric modeling challenge, PanoWorld aims to enhance spatial understanding for AI applications.
- ▪PanoWorld generates 360-degree video from a single image and caption.
- ▪Existing methods often produce visually plausible outputs but lack depth consistency.
- ▪The model introduces depth and trajectory consistency losses to improve geometric accuracy.
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Computer Science > Computer Vision and Pattern Recognition arXiv:2605.15391 (cs) [Submitted on 14 May 2026] Title:PanoWorld: Geometry-Consistent Panoramic Video World Modeling Authors:Le Jiang, Xiangyu Bai, Bishoy Galoaa, Shayda Moezzi, Caleb James Lee, Tooba Imtiaz, Edmund Yeh, Jennifer Dy, Yanzhi Wang, Sarah Ostadabbas View a PDF of the paper titled PanoWorld: Geometry-Consistent Panoramic Video World Modeling, by Le Jiang and 9 other authors View PDF HTML (experimental) Abstract:We present PanoWorld, a panoramic video world model that generates geometry-consistent 360$\degree$ video from a single image and a caption.
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