{"id":"W4402727180","doi":"10.1109/cvpr52733.2024.00891","title":"Disco: Disentangled Control for Realistic Human Dance Generation","year":2024,"lang":"en","type":"article","venue":"","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Dance; Computer science; Control (management); Artificial intelligence; Art; Visual arts","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":[0.0006138348,0.0008235148,0.0004584685,0.0002649053,0.0003176278,0.000961391,0.00100195,0.0006787025,0.004582069],"category_scores_gemma":[0.00159131,0.0004117813,0.0005993798,0.000117847,0.0008860421,0.0006512022,0.002006607,0.001289181,0.000658517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005574937,"about_ca_system_score_gemma":0.0005851146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002933241,"about_ca_topic_score_gemma":0.004306268,"domain_scores_codex":[0.9997728,0.00004010019,0.000008609595,0.00008047147,0.00007283225,0.00002516108],"domain_scores_gemma":[0.9996976,0.0001505135,0.00002708263,0.00005441572,0.00003785034,0.00003261898],"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":[0.0002078475,0.00007930072,0.0006419682,0.0001782793,0.00005200653,0.0001227262,0.0001804317,0.8694486,0.02694041,0.01975227,0.002355779,0.08004037],"study_design_scores_gemma":[0.00001258996,0.00002719533,0.00005870383,0.000007618959,0.000005562753,0.00001249959,0.000006342813,0.993181,0.001757685,0.003224339,0.001701161,0.000005118465],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0161369,0.0003376724,0.9737718,0.000195504,0.0001161781,0.00006941282,0.0001291329,0.001772517,0.007470963],"genre_scores_gemma":[0.8280626,0.0003389779,0.1606259,0.0002594695,0.00006408994,0.0003529495,0.0004391024,0.0006443285,0.009212657],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004582069,"threshold_uncertainty_score":0.01532859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03032936992085799,"score_gpt":0.2945839066565099,"score_spread":0.2642545367356519,"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."}}