{"id":"W3173191279","doi":"10.1016/j.cag.2021.06.004","title":"Artist guided generation of video game production quality face textures","year":2021,"lang":"en","type":"article","venue":"Computers & Graphics","topic":"Face recognition and analysis","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Ubisoft (Canada)","funders":"","keywords":"Computer science; Rendering (computer graphics); Computer vision; Artificial intelligence; Face (sociological concept); Image translation; Property (philosophy); Texture synthesis; Translation (biology); Texture mapping; Computer graphics (images); Image (mathematics); Image texture; Image processing","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":[0.0003742192,0.0001286002,0.000231834,0.0001638608,0.0001008339,0.0001339725,0.0003167417,0.00006796667,0.00001119866],"category_scores_gemma":[0.0001237934,0.0001307642,0.0001820287,0.001114893,0.00007420973,0.0003057694,0.0001325939,0.0001190041,0.00001152298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002007051,"about_ca_system_score_gemma":0.00007622696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003021394,"about_ca_topic_score_gemma":0.00006785532,"domain_scores_codex":[0.9983808,0.000231148,0.0004094046,0.00047108,0.0003428472,0.0001647686],"domain_scores_gemma":[0.9986336,0.00005331743,0.0001928274,0.0005871274,0.000457384,0.00007569832],"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":[0.00001468134,0.001117476,0.004295369,0.0003651819,0.000627772,0.0000651542,0.00452497,0.0244956,0.3228567,0.2651308,0.07766196,0.2988443],"study_design_scores_gemma":[0.0007965221,0.0000899466,0.01276196,0.0001442473,0.00008481456,0.00008949954,0.0001382251,0.6332068,0.3280025,0.01134959,0.01254121,0.0007947241],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1034368,0.0003729529,0.8915378,0.003607824,0.0007594447,0.00008333055,0.000004602646,0.0001064124,0.00009086551],"genre_scores_gemma":[0.9623215,0.000200843,0.0361854,0.000865112,0.0001641258,0.00000589393,0.00005963254,0.00000738411,0.0001900806],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8588847,"threshold_uncertainty_score":0.5332409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07865855154018875,"score_gpt":0.3110414901879389,"score_spread":0.2323829386477501,"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."}}