{"ID":5675304,"CreatedAt":"2026-07-03T01:40:09.565152011Z","UpdatedAt":"2026-07-07T01:06:03.009715918Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2607.02018","arxiv_id":"2607.02018","title":"UnderOneFacade: Worldwide Facade Semantic Segmentation Benchmark Dataset","abstract":"Globally consistent semantic digital twins require centimeter-accurate and geographically transferable 3D facade segmentation. However, progress in facade parsing is limited by the lack of large-scale, standardized benchmarks for evaluating cross-domain generalization. Existing datasets are geographically narrow, semantically inconsistent, or insufficiently precise. We introduce UnderOneFacade, the largest cross-country and cross-continent 3D facade benchmark to date, comprising centimeter-accurate point clouds with hierarchical, harmonized, and architecturally grounded semantic labels totaling 2.7 billion annotated points. Through a systematic evaluation of representative point-, graph- and transformer-based architectures, we show that current methods struggle to recognize fine-grained architectural elements and degrade significantly across geographic domains, with the best models achieving only up to 33 IoU on the fine-grained LoFG3 benchmark. By combining geometric precision with standardized semantics at unprecedented scale, UnderOneFacade establishes a rigorous benchmark for developing robust and transferable 3D segmentation models. The dataset, evaluation scripts, and pretrained models will be released upon publication.","short_abstract":"Globally consistent semantic digital twins require centimeter-accurate and geographically transferable 3D facade segmentation. However, progress in facade parsing is limited by the lack of large-scale, standardized benchmarks for evaluating cross-domain generalization. Existing datasets are geographically narrow, seman...","url_abs":"https://arxiv.org/abs/2607.02018","url_pdf":"https://arxiv.org/pdf/2607.02018v1","authors":"[\"Yi Wang\",\"Fan Wang\",\"Prabin Gyawali\",\"Ziyang Xu\",\"Anna Klimkowska\",\"Yixiong Jing\",\"Wanru Yang\",\"Filip Biljecki\",\"Christoph Holst\",\"Benjamin Busam\",\"Brian Sheil\",\"Olaf Wysocki\"]","published":"2026-07-02T10:50:01Z","proceeding":"cs.CV","tasks":"[\"cs.CV\"]","methods":"[\"Transformer\"]","has_code":false}