{"id":"W4312999101","doi":"10.1109/cvpr52688.2022.01694","title":"Modeling sRGB Camera Noise with Normalizing Flows","year":2022,"lang":"en","type":"article","venue":"2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute; York University","funders":"","keywords":"Computer science; RGB color model; Noise (video); Artificial intelligence; Computer vision; Noise reduction; Dark-frame subtraction; Noise measurement; Image noise; Image sensor; Image (mathematics); Image processing; Median filter","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":[0.0009669468,0.001149795,0.0005207753,0.0007306137,0.0002728192,0.000762453,0.0009696655,0.0007857225,0.000873044],"category_scores_gemma":[0.002182262,0.0003837898,0.000756669,0.0004492354,0.0008401513,0.001144332,0.0006133237,0.0009556891,0.0003119953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001020532,"about_ca_system_score_gemma":0.0009675504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007575768,"about_ca_topic_score_gemma":0.006470156,"domain_scores_codex":[0.9996659,0.00006786283,0.00001522988,0.00009927663,0.0001210551,0.00003066447],"domain_scores_gemma":[0.9994878,0.0001736565,0.0001027856,0.00006542584,0.0001488951,0.00002134817],"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":[0.00008973459,0.00003830454,0.0009324068,0.00004900871,0.00002768921,0.00005169799,0.00006074393,0.9163284,0.01222204,0.01235324,0.0006211956,0.05722558],"study_design_scores_gemma":[0.000002301362,0.000009380225,0.0001266347,0.000003545937,0.000005059552,0.00001490618,0.000003346636,0.9943953,0.002929894,0.002024713,0.0004792644,0.000005646621],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01486397,0.0001037884,0.9835376,0.00007279541,0.00002355502,0.00003092569,0.00005077656,0.0003915633,0.000925058],"genre_scores_gemma":[0.620706,0.0007750788,0.3701081,0.0002070338,0.00007789176,0.0001882296,0.000508602,0.0003594851,0.007069665],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007575768,"threshold_uncertainty_score":0.01506335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05232009435441503,"score_gpt":0.2808313286522276,"score_spread":0.2285112342978126,"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."}}