{"id":"W3150994859","doi":"10.48550/arxiv.2103.14984","title":"Realistic face animation generation from videos","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Face recognition and analysis","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Face (sociological concept); Animation; Artificial intelligence; Computer vision; Template; Facial recognition system; Computer graphics (images); Pattern recognition (psychology)","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":[0.0001111426,0.0001953959,0.0002430002,0.0001584237,0.0001252519,0.0003313961,0.000667484,0.0002014657,0.0001355154],"category_scores_gemma":[0.00004255506,0.000241115,0.0001954442,0.0004984749,0.00002752787,0.0004441724,0.0006639474,0.0002648826,0.0001271506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001552244,"about_ca_system_score_gemma":0.0001318935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006733175,"about_ca_topic_score_gemma":0.0003446414,"domain_scores_codex":[0.9984861,0.0001811212,0.0001726515,0.0008969926,0.00009925762,0.0001638877],"domain_scores_gemma":[0.9986699,0.00005191217,0.0001970714,0.0007703255,0.0002017971,0.0001090469],"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":[0.000008992824,0.0002065479,0.0008388691,0.00006034775,0.0004231817,0.000527292,0.0009256703,0.8635671,0.003224959,0.1203258,0.002247291,0.007643932],"study_design_scores_gemma":[0.0001664836,0.000008444475,0.0005201478,0.00004677117,0.0001016942,9.939627e-7,0.0001027817,0.9909965,0.0009234633,0.006680852,0.0001777966,0.0002740622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1949663,0.0000557826,0.8033814,0.0002297378,0.0002888475,0.00008693009,0.00002969182,0.0001471495,0.000814138],"genre_scores_gemma":[0.9924767,0.000230978,0.005356233,0.0001586206,0.0000999281,7.614456e-7,0.0005321898,0.000008633847,0.001135929],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7980251,"threshold_uncertainty_score":0.9832384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1094960783951744,"score_gpt":0.191444950222003,"score_spread":0.08194887182682854,"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."}}