{"id":"W4225371802","doi":"10.1145/3528223.3530108","title":"Neural dual contouring","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Google","keywords":"Computer science; Contouring; Grid; Polygon mesh; Vertex (graph theory); Convolutional neural network; Regular grid; Marching cubes; Point cloud; Artificial neural network; Intersection (aeronautics); Artificial intelligence; Algorithm; Surface (topology); Enhanced Data Rates for GSM Evolution; Voxel; Surface reconstruction; Octree; Theoretical computer science; Mathematics; Computer graphics (images); Visualization; Geometry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009293297,0.0008130326,0.001067429,0.001439957,0.0004631829,0.002092248,0.003557306,0.00178135,0.006301175],"category_scores_gemma":[0.005681746,0.0006811172,0.001111294,0.001440898,0.001176129,0.002252727,0.002450334,0.002279604,0.002113328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001112775,"about_ca_system_score_gemma":0.000953564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004131892,"about_ca_topic_score_gemma":0.004082044,"domain_scores_codex":[0.9992478,0.00007420871,0.00003575102,0.0002243995,0.0003404774,0.00007750373],"domain_scores_gemma":[0.9986168,0.0003782265,0.00009960552,0.0003924363,0.0004300483,0.00008281594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001990343,0.00009093618,0.001603216,0.0001672068,0.00005588424,0.0001078845,0.0001390159,0.4325311,0.01013715,0.03073755,0.009329073,0.514902],"study_design_scores_gemma":[0.000007003302,0.0000112204,0.00006328293,0.000009071662,0.000003813029,0.0000278363,0.000007175202,0.9893629,0.001970768,0.006480212,0.002050437,0.000006241948],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01063149,0.0002577287,0.9829102,0.0001983063,0.0001067315,0.00005663892,0.0003441868,0.002376503,0.003118178],"genre_scores_gemma":[0.2534782,0.0004053834,0.7355427,0.0004684996,0.00009326557,0.0002180453,0.002327289,0.001026878,0.006439751],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006301175,"threshold_uncertainty_score":0.02107948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01799305350801736,"score_gpt":0.2156001845305886,"score_spread":0.1976071310225713,"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."}}