{"id":"W4387195417","doi":"10.1145/3626235","title":"Diffusion Models: A Comprehensive Survey of Methods and Applications","year":2023,"lang":"en","type":"review","venue":"ACM Computing Surveys","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":1387,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute; HEC Montréal","funders":"","keywords":"Computer science; Data science; Generative grammar; Key (lock); Focus (optics); Generative model; Diffusion; Artificial intelligence; Machine learning","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":[0.002380298,0.001705965,0.001844703,0.003327091,0.0005176236,0.002457157,0.002139177,0.002128498,0.009423484],"category_scores_gemma":[0.005750551,0.001196502,0.001382776,0.005012572,0.0009825933,0.004412469,0.001414781,0.003258791,0.005699542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001561545,"about_ca_system_score_gemma":0.00217954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004610428,"about_ca_topic_score_gemma":0.004002174,"domain_scores_codex":[0.9990829,0.000193251,0.00008724074,0.0001908066,0.0003927004,0.00005307809],"domain_scores_gemma":[0.9968927,0.002178969,0.0001231982,0.0001905731,0.0005334696,0.0000810355],"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":[0.00004006808,0.00008285041,0.0007503786,0.006555242,0.0001336659,0.0000966381,0.0001228212,0.01070559,0.0007258798,0.1180103,0.06007726,0.8026992],"study_design_scores_gemma":[0.0000153543,0.0000651961,0.0005716217,0.002509758,0.0001006947,0.0005532586,0.00008450467,0.01722656,0.0006468522,0.07979986,0.8983517,0.00007455584],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005616102,0.9280212,0.05507382,0.002981664,0.0007731035,0.00005560556,0.0003084092,0.0002899398,0.01193459],"genre_scores_gemma":[0.007113481,0.9683118,0.01766595,0.0007000312,0.001148526,0.00007365445,0.0003800271,0.0001108042,0.00449582],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009423484,"threshold_uncertainty_score":0.03152472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2337787555715836,"score_gpt":0.422125356263777,"score_spread":0.1883466006921934,"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."}}