From an Image to a Scene: Learning to Imagine the World from a Million 360° Videos
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Taming Stable Diffusion for Text to 360° Panorama Image Generation
Consistent4D: Consistent 360° Dynamic Object Generation from Monocular Video
DINN360: Deformable Invertible Neural Network for Latitude-aware 360° Image Rescaling
TAPVid-360: Tracking Any Point in 360 from Narrow Field of View Video
Beyond the Frame: Generating 360° Panoramic Videos from Perspective Videos
Generating 360° Video is What You Need For a 3D Scene
@article{wallingford2026from,
title = {From an Image to a Scene: Learning to Imagine the World from a Million 360° Videos},
author = {Matthew Wallingford and Anand Bhattad and Aditya Kusupati and Vivek Ramanujan and Matt Deitke and Aniruddha Kembhavi and Roozbeh Mottaghi and Wei-Chiu Ma and Ali Farhadi},
year = {2026},
url = {https://www.semanticscholar.org/paper/340258c6928d77a9b71584d3fee667a60aced29a},
journal = {NEURIPS 2024 2024}
}Shows whether official code is linked for this paper.
[](https://codeofpaper.com/paper/340258c6928d77a9b71584d3fee667a60aced29a)