AnyRecon builds coherent 3D scenes from a handful of random photos
Researchers just introduced AnyRecon, a framework that turns sparse, unordered snapshots into consistent 3D scenes. Unlike existing diffusion models that only look at one or two frames at once, it maintains a persistent global scene memory to stitch wide viewpoint gaps. That means a few casual phone photos are now enough to generate a reliable 3D model.