AI RESEARCH

Raster2Seq: Polygon Sequence Generation for Floorplan Reconstruction

arXiv CS.CV

ArXi:2602.09016v2 Announce Type: replace Reconstructing a structured vector-graphics representation from a rasterized floorplan image is typically an important prerequisite for computational tasks involving floorplans such as automated understanding or CAD workflows. However, existing techniques struggle in faithfully generating the structure and semantics conveyed by complex floorplans that depict large indoor spaces with many rooms and a varying numbers of polygon corners.