{"id":"W4386065894","doi":"10.1109/cvpr52729.2023.00842","title":"Invertible Neural Skinning","year":2023,"lang":"en","type":"article","venue":"","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Skinning; Computer science; Invertible matrix; Pipeline (software); Artificial intelligence; Differentiable function; Artificial neural network; Process (computing); Computer vision; Computer graphics (images); Programming language; Mathematics; Engineering","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":[0.0003954664,0.0008813239,0.0005189256,0.0003534733,0.0002097689,0.000539363,0.0009472259,0.0007646304,0.006258282],"category_scores_gemma":[0.001213162,0.0004106068,0.000662473,0.0003222979,0.0008487101,0.001005846,0.001166064,0.001034429,0.001185965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003274925,"about_ca_system_score_gemma":0.0003478792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001504264,"about_ca_topic_score_gemma":0.00331779,"domain_scores_codex":[0.9997248,0.0000332379,0.00001099296,0.0001219269,0.00007753579,0.00003150961],"domain_scores_gemma":[0.9997453,0.00007844283,0.00002412469,0.00008954199,0.00004390821,0.00001872563],"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":[0.0001267158,0.00006550159,0.000623802,0.0001740633,0.00006036091,0.0002166953,0.0001495207,0.4141684,0.08942606,0.0142432,0.00365245,0.4770932],"study_design_scores_gemma":[0.000007073243,0.00007006953,0.000331644,0.00001301052,0.00001358572,0.0002009245,0.00003027541,0.9624058,0.02468741,0.00816595,0.004061529,0.00001264004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01638074,0.0001334765,0.9780211,0.0000627534,0.00005985299,0.00004280561,0.00007460854,0.002054141,0.003170493],"genre_scores_gemma":[0.5325015,0.0003829157,0.4510445,0.0003475996,0.00006710456,0.0001332843,0.0006189076,0.001023683,0.0138806],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006258282,"threshold_uncertainty_score":0.02093601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01658308381944026,"score_gpt":0.2094428961264937,"score_spread":0.1928598123070535,"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."}}