Meta AI Researchers Release MapAnything: An End-to-End Transformer Architecture that Directly Regresses Factored, Metric 3D Scene Geometry
A staff of researchers from Meta Reality Labs and Carnegie Mellon University has launched MapAnything, an end-to-end transformer structure that straight regresses factored metric 3D scene geometry from photographs and elective sensor inputs. Released beneath Apache 2.0 with full coaching and benchmarking code, MapAnything advances past specialist pipelines by supporting over 12 distinct 3D imaginative…
