AI RESEARCH
Coherent Human-Scene Reconstruction from Multi-Person Multi-View Video in a Single Pass
arXiv CS.CV
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ArXi:2603.12789v1 Announce Type: new Recent advances in 3D foundation models have led to growing interest in reconstructing humans and their surrounding environments. However, most existing approaches focus on monocular inputs, and extending them to multi-view settings requires additional overhead modules or preprocessed data. To this end, we present CHROMM, a unified framework that jointly estimates cameras, scene point clouds, and human meshes from multi-person multi-view videos without relying on external modules or preprocessing.