{"id":"W4404654733","doi":"10.1007/978-3-031-72995-9_5","title":"Relightable 3D Gaussians: Realistic Point Cloud Relighting with BRDF Decomposition and Ray Tracing","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":78,"is_retracted":false,"has_abstract":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Computer science; Ray tracing (physics); Bidirectional reflectance distribution function; Distributed ray tracing; Decomposition; Computer graphics (images); Point cloud; Cloud computing; Tracing; Reflectivity; Artificial intelligence; Optics; Rendering (computer graphics); Physics","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":[0.0004604558,0.0009202084,0.001001626,0.0007010187,0.0003458818,0.001467849,0.001626397,0.001216927,0.008473929],"category_scores_gemma":[0.001732323,0.001059612,0.001059194,0.001040283,0.0005747086,0.001345481,0.001857344,0.001772933,0.002396255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005642282,"about_ca_system_score_gemma":0.0004923951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002809385,"about_ca_topic_score_gemma":0.003593157,"domain_scores_codex":[0.9995472,0.00006067094,0.00001648124,0.0000463876,0.0002948956,0.0000343764],"domain_scores_gemma":[0.9993782,0.0002414477,0.00004534816,0.0002025313,0.0001037751,0.00002864651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002539299,0.000143726,0.0007900078,0.0004112449,0.0001056042,0.0003507716,0.0006584616,0.4696943,0.05859949,0.05620242,0.01476176,0.3980283],"study_design_scores_gemma":[0.00001719081,0.0000181935,0.0001299093,0.00001684304,0.000007494304,0.0001397061,0.00002341185,0.9770172,0.008167215,0.007534816,0.006907919,0.00002011406],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006701539,0.0001344137,0.9869742,0.000068346,0.00002790427,0.0000385432,0.0002276274,0.003571491,0.002255872],"genre_scores_gemma":[0.1324689,0.000415582,0.858332,0.0000843844,0.00002807621,0.0000662575,0.0008204902,0.003156568,0.004627826],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008473929,"threshold_uncertainty_score":0.02834815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01026380678627842,"score_gpt":0.2635866461320072,"score_spread":0.2533228393457287,"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."}}