{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006220218,0.0008851995,0.0009021656,0.002741405,0.0003034157,0.0009359969,0.0009690943,0.0009715775,0.007061334],"category_scores_gemma":[0.001452309,0.0005135589,0.0005896222,0.002288095,0.0004644425,0.001472153,0.0005681282,0.0010115,0.002941785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004373955,"about_ca_system_score_gemma":0.0006480995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00093657,"about_ca_topic_score_gemma":0.001115306,"domain_scores_codex":[0.9997246,0.00003557896,0.00003547606,0.00006729907,0.0001192997,0.00001774103],"domain_scores_gemma":[0.9992738,0.0004569717,0.00006139671,0.00003388495,0.0001488549,0.00002500594],"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":[0.00003753757,0.00006634422,0.0001709441,0.0143635,0.00006901333,0.000113173,0.00005733362,0.001173661,0.003036432,0.007859292,0.01635474,0.9566981],"study_design_scores_gemma":[0.00001058864,0.0001568461,0.0009175076,0.004169986,0.0001426052,0.001642698,0.00006599229,0.001564799,0.004562141,0.004321729,0.9823976,0.00004736431],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005027442,0.9892699,0.004275816,0.0002493189,0.0002219013,0.00001762124,0.00004651464,0.00004570218,0.00537048],"genre_scores_gemma":[0.004503761,0.9878184,0.004154539,0.0002085929,0.0003577709,0.00002776915,0.0001079148,0.00002052284,0.002800667],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007061334,"threshold_uncertainty_score":0.02362251,"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."}}