{"id":"W4413146385","doi":"10.1109/cvpr52734.2025.01585","title":"EdgeDiff: Edge-aware Diffusion Network for Building Reconstruction from Point Clouds","year":2025,"lang":"en","type":"article","venue":"","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Research and Development","keywords":"Enhanced Data Rates for GSM Evolution; Computer science; Diffusion; Point (geometry); Point cloud; Artificial intelligence; Geometry; Physics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006669002,0.001635203,0.001307114,0.001840848,0.0005408672,0.0009945347,0.003073402,0.001499153,0.00204705],"category_scores_gemma":[0.002924149,0.001040592,0.001335221,0.001708816,0.000633708,0.002110336,0.002161332,0.00236751,0.001372452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001128139,"about_ca_system_score_gemma":0.0009031718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01303807,"about_ca_topic_score_gemma":0.02183388,"domain_scores_codex":[0.9994676,0.0000664527,0.00002009117,0.0002062345,0.0001823191,0.00005740575],"domain_scores_gemma":[0.9994087,0.00018518,0.00007146096,0.000142487,0.0001509558,0.00004118136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000224195,0.0001387781,0.002183559,0.0001975096,0.0001708795,0.0001658611,0.0002010719,0.5281429,0.01490574,0.0098136,0.009861317,0.4339946],"study_design_scores_gemma":[0.000006274305,0.00001014572,0.0001393294,0.000005964291,0.000005895294,0.0000358119,0.00001218325,0.9936592,0.002212991,0.002876483,0.001028277,0.000007392036],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01239411,0.0002866705,0.9820472,0.0001520803,0.0000399673,0.00005421993,0.0004165411,0.003857311,0.0007518548],"genre_scores_gemma":[0.2434109,0.0006595552,0.744345,0.0002780146,0.00009329491,0.0001850353,0.004875699,0.00107965,0.00507287],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01303807,"threshold_uncertainty_score":0.02592438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01454407961876299,"score_gpt":0.2262500559499577,"score_spread":0.2117059763311947,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}