{"id":"W2952669938","doi":"10.1145/3230635","title":"Volume Path Guiding Based on Zero-Variance Random Walk Theory","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Grantová Agentura České Republiky; Univerzita Karlova v Praze","keywords":"Radiance; Importance sampling; Global illumination; Computer science; Path tracing; Sampling (signal processing); Path (computing); Scattering; Algorithm; Variance reduction; Roulette; Variance (accounting); Monte Carlo method; Mathematical optimization; Rendering (computer graphics); Mathematics; Statistics; Computer vision; Optics; Physics; Geometry","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":[0.0005439252,0.0005941715,0.0005621897,0.0006641466,0.000588992,0.001267665,0.001126607,0.0006811685,0.002527904],"category_scores_gemma":[0.002041838,0.0003942878,0.0005664091,0.000372984,0.0009902691,0.001093178,0.001309838,0.001161295,0.0006695265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001059158,"about_ca_system_score_gemma":0.001127373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002720517,"about_ca_topic_score_gemma":0.003449959,"domain_scores_codex":[0.9996743,0.00008596445,0.000009140398,0.00003853551,0.0001547581,0.00003721734],"domain_scores_gemma":[0.9992903,0.0003812946,0.00006492454,0.00009136882,0.0001202669,0.00005167703],"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":[0.0001207384,0.00007396522,0.0006437394,0.0001171293,0.00003020582,0.0001238763,0.0002401616,0.6036469,0.02374201,0.3182047,0.002547144,0.05050941],"study_design_scores_gemma":[0.000008918515,0.00001615546,0.00004528556,0.000007443701,0.000002867805,0.00002630307,0.000009022569,0.9747462,0.001959227,0.0216888,0.001478616,0.00001111588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006956038,0.00008226097,0.9904474,0.00005487282,0.0000211111,0.00002513651,0.00002428087,0.0002579638,0.002130873],"genre_scores_gemma":[0.3510641,0.00039125,0.6402141,0.0001658651,0.00005655038,0.0002569177,0.000182966,0.0006767205,0.006991554],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002720517,"threshold_uncertainty_score":0.008456647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0197339073871463,"score_gpt":0.25945802678233,"score_spread":0.2397241193951837,"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."}}