{"id":"W4401416676","doi":"10.1109/icra57147.2024.10610324","title":"SceneControl: Diffusion for Controllable Traffic Scene Generation","year":2024,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Diffusion; Computer vision; Physics","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":[0.0006943922,0.0009111823,0.0005326426,0.0005692816,0.0005049613,0.001349032,0.001516615,0.0008457908,0.004451269],"category_scores_gemma":[0.002527707,0.0004511059,0.0007952043,0.0003500024,0.001006918,0.001489321,0.001667108,0.001225274,0.0007129972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007000613,"about_ca_system_score_gemma":0.0005197594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002430506,"about_ca_topic_score_gemma":0.003430378,"domain_scores_codex":[0.9995813,0.000093656,0.00001504331,0.0001302002,0.0001341658,0.00004570109],"domain_scores_gemma":[0.9992148,0.0003837033,0.00005597623,0.0001614832,0.00009424803,0.00008982606],"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":[0.0003845021,0.0003314521,0.002360126,0.0003085475,0.00008903989,0.0003770109,0.0006267936,0.6520216,0.08891856,0.08093658,0.01389472,0.1597511],"study_design_scores_gemma":[0.00002254989,0.00003958255,0.0001554886,0.000007125726,0.000005765995,0.00005908524,0.00002703087,0.9739988,0.009099305,0.01156372,0.00500429,0.00001715237],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02017725,0.0001423095,0.9706888,0.0001959327,0.00005897448,0.00009509175,0.0002041151,0.005570978,0.002866525],"genre_scores_gemma":[0.533475,0.0002725217,0.4595587,0.0002221428,0.00006220595,0.0002058236,0.000956286,0.001741966,0.003505278],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004451269,"threshold_uncertainty_score":0.01489097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02922574277811324,"score_gpt":0.2982309543465607,"score_spread":0.2690052115684474,"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."}}