SIM 2.0: Floor Plan Vectorization via VLM Semantic Normalization with Pixel-Wise Self-Consistency

Figure 1: The SIM 2.0 pipeline at a glance.From left to right: input floor plan, RGB consensus mask from ๐‘ =24 Gemini samples, extracted vertices and edges (orange: edges, red: doors/openings), room connectivity graph, and traversability graph.

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Journal
eScholarship (California Digital Library)
Published
2026-11-02
Primary Topic
Automated Road and Building Extraction
Type
article
Field-Weighted Citation Impact
0.00

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article

SIM 2.0: Floor Plan Vectorization via VLM Semantic Normalization with Pixel-Wise Self-Consistency

Roberto Manduchi, Brhanemesqel Halleluyah
eScholarship (California Digital Library)
Automated Road and Building Extraction
article

SIM 2.0: Floor Plan Vectorization via VLM Semantic Normalization with Pixel-Wise Self-Consistency

Roberto Manduchi, Brhanemesqel Halleluyah
article en

Abstract

Figure 1: The SIM 2.0 pipeline at a glance.From left to right: input floor plan, RGB consensus mask from ๐‘ =24 Gemini samples, extracted vertices and edges (orange: edges, red: doors/openings), room connectivity graph, and traversability graph.

eScholarship (California Digital Library)
University of California, Santa Cruz (US)
National Institutes of Health
Openalex Percentile: Top 35%
Automated Road and Building Extraction
Open Access PDFOpenAlex
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SIM 2.0: Floor Plan Vectorization via VLM Semantic Normalization with Pixel-Wise Self-Consistency โ€” Roberto Manduchi, Brhanemesqel Halleluyah ยท eScholarship (California Digital Library) (2026) | TGRS Research Map | TGRS