{"id":"W4417124939","doi":"10.1145/3757377.3763855","title":"Sketch2PoseNet: Efficient and Generalized Sketch to 3D Human Pose Prediction","year":2025,"lang":"","type":"article","venue":"","topic":"Human Motion and Animation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Sketch; Pose; Heuristic; 3D pose estimation; Articulated body pose estimation; Prior probability; Process (computing); Task (project management); Animation","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000267939,0.0002912417,0.0002741369,0.0004339903,0.0003255925,0.0002197792,0.0001105708,0.0001717571,0.001502951],"category_scores_gemma":[0.00002622623,0.0003162368,0.00007225731,0.0004338422,0.00003366655,0.00008815926,0.00009214185,0.0001791239,0.0001686984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001744941,"about_ca_system_score_gemma":0.00002517141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005079766,"about_ca_topic_score_gemma":0.00006215124,"domain_scores_codex":[0.9983959,0.00006632503,0.0005468939,0.0004275817,0.0002126174,0.0003507211],"domain_scores_gemma":[0.9993632,0.0000221402,0.00003677784,0.000287766,0.00008879142,0.0002013443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001101655,0.0006756951,0.002870003,0.001341386,0.0004761565,0.00001166852,0.006496072,0.3142993,0.3750717,0.1647247,0.03968059,0.09424258],"study_design_scores_gemma":[0.002776844,0.0002616235,0.1090147,0.000473703,0.0001639899,0.000005381617,0.0003051962,0.8379422,0.01094704,0.0006013458,0.036838,0.0006699527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8848867,0.0003525433,0.06669979,0.0005840263,0.001164546,0.0006616243,0.00002095348,0.0004069442,0.04522285],"genre_scores_gemma":[0.9853333,0.00008176051,0.002054425,0.0004409479,0.0002326063,0.00002673541,0.00002769554,0.00003170178,0.01177085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.523643,"threshold_uncertainty_score":0.999929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008868580629129836,"score_gpt":0.2482861065943125,"score_spread":0.2394175259651826,"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."}}