{"id":"W4403896176","doi":"10.1145/3677388.3696328","title":"Implicit and Parametric Avatar Pose and Shape Estimation From a Single Frontal Image of a Clothed Human","year":2024,"lang":"en","type":"article","venue":"","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Avatar; Artificial intelligence; Computer science; Pose; Computer vision; Parametric statistics; Image (mathematics); Parametric model; Pattern recognition (psychology); Mathematics; Human–computer interaction; Statistics","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":[],"consensus_categories":[],"category_scores_codex":[0.00004900507,0.00008399457,0.0001399734,0.0001579165,0.00002273853,0.00007217188,0.00003101409,0.00003746719,0.00009660995],"category_scores_gemma":[0.00001148518,0.00007449236,0.00003104345,0.0001602895,0.00001805023,0.0001056817,0.00001777769,0.00005531993,0.000007713703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001391095,"about_ca_system_score_gemma":0.0000025551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003877426,"about_ca_topic_score_gemma":0.00003168822,"domain_scores_codex":[0.9995683,0.000005505111,0.0001451538,0.0001358819,0.00006338175,0.00008172022],"domain_scores_gemma":[0.9998165,0.00004664788,0.000009247852,0.00008169869,0.00001031471,0.00003555078],"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":[0.00001137405,0.00009085544,0.001317549,0.0004924234,0.0005804077,0.00002527489,0.001953081,0.02378141,0.7953143,0.0005377969,0.001390299,0.1745052],"study_design_scores_gemma":[0.0001025798,0.00002281515,0.0007333094,0.00004460266,0.00006716564,0.000001987155,0.00005287348,0.9945115,0.003203133,0.001162822,0.00001204277,0.00008518657],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9208807,0.001960742,0.07616486,0.00001878978,0.00002263594,0.00003467228,0.00002901595,0.0001730041,0.0007156188],"genre_scores_gemma":[0.9886422,0.00003822034,0.01118968,0.000006719046,0.0000233977,0.00000212766,0.00002500099,0.00001683428,0.00005578059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9707301,"threshold_uncertainty_score":0.303771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009476170390549331,"score_gpt":0.2263253349053056,"score_spread":0.2168491645147563,"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."}}