arXiv (All)
open access
Domain Adaptation of SAM 2.1 for Building-Component Segmentation in Image-Based 3D Reconstruction
3D reconstruction of building components using image-based scanning requires appropriate segmentation of the objects in the 2D building images. In order to benefit from consistent grouping of the 2D masks in 3D environments, vision foundation models such as the Segment Anything Model have been utili
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- UniBuild: Unified Building Mapping From Multi-Source Optical Remote Sensing Imagery With Detail Decoding and Geometry Regularization#1132232
- From 3D Reconstruction to Spatial Intelligence: Bridging Vision Foundation Models with the 3D World#1203235
- HARMONY: Hierarchical Agentic Reasoning for MONocular Image-to-Scene Synthesis#1081342
- HARMONY: Hierarchical Agentic Reasoning for MONocular Image-to-Scene Synthesis#1062717
- AstraLOD3: Zero-shot multimodal agentic reconstruction of LOD3 building models#1064605
Record · ID 1296793
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive