AI RESEARCH

Scene Grounding In the Wild

arXiv CS.CV

ArXi:2603.26584v1 Announce Type: new Reconstructing accurate 3D models of large-scale real-world scenes from unstructured, in-the-wild imagery remains a core challenge in computer vision, especially when the input views have little or no overlap. In such cases, existing reconstruction pipelines often produce multiple disconnected partial reconstructions or erroneously merge non-overlapping regions into overlapping geometry.