{"id":"W4322703855","doi":"10.1109/ipas55744.2022.10053049","title":"A Review of Photorealistic Image Stylization Techniques","year":2022,"lang":"en","type":"review","venue":"","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Rendering (computer graphics); Artificial intelligence; Convolutional neural network; Similarity (geometry); Computer vision; Convolution (computer science); Image (mathematics); Pattern recognition (psychology); Perception; Task (project management); Artificial neural network","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005912257,0.0002600585,0.001284246,0.0001342465,0.00006640117,0.0000457606,0.00109529,0.00006463668,0.001225152],"category_scores_gemma":[0.0002092633,0.0001944115,0.0004215194,0.0008263761,0.00003451997,0.000205682,0.0004798532,0.0001548214,0.000008067874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000728095,"about_ca_system_score_gemma":0.0002269002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003772914,"about_ca_topic_score_gemma":0.000001109602,"domain_scores_codex":[0.9981408,0.0004104153,0.000641003,0.0004047448,0.0002472121,0.0001558688],"domain_scores_gemma":[0.9983389,0.0002192371,0.0005222627,0.0007846469,0.0000913742,0.00004361256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[7.855739e-8,0.00001677796,3.372788e-9,0.04439173,0.00002329038,0.000002438796,0.000003277516,9.292001e-8,3.619549e-7,0.001320579,0.02466828,0.9295731],"study_design_scores_gemma":[0.00001029523,0.00003099689,7.535999e-9,0.03688121,0.000160127,0.0000100915,5.89731e-7,0.0002108066,0.00001326525,0.00006622243,0.9624318,0.0001845446],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[1.838325e-11,0.6079886,0.3822034,0.00001352751,0.00008106293,0.0004766723,0.00001475312,0.0000683081,0.009153644],"genre_scores_gemma":[7.967273e-9,0.9276938,0.071395,0.000313208,0.00006083256,0.0002049043,0.00008542713,0.00001774887,0.0002290897],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9377636,"threshold_uncertainty_score":0.9996879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0492220376709455,"score_gpt":0.3318426398116216,"score_spread":0.2826206021406761,"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."}}