{"id":"W4412900339","doi":"10.1145/3721251.3734056","title":"Optimizing Real-Time Gaussian Splat Rendering for Mobile and Standalone VR","year":2025,"lang":"en","type":"article","venue":"","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Québécois de Recherche et de Développement de l'Aluminium","funders":"","keywords":"Computer science; Rendering (computer graphics); Virtual reality; Computer graphics (images); Real-time rendering; Gaussian; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002189923,0.00009635188,0.0001337519,0.000187193,0.0001459031,0.0002520123,0.0002727146,0.0000434139,0.000005326994],"category_scores_gemma":[0.00000609218,0.0000894042,0.00003796758,0.0003212653,0.00002032115,0.000226279,0.0002691837,0.00003701038,5.759474e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001721715,"about_ca_system_score_gemma":0.00003138339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002006217,"about_ca_topic_score_gemma":0.000003255626,"domain_scores_codex":[0.9992688,0.00001449895,0.0001717057,0.0003027146,0.00008173112,0.0001604914],"domain_scores_gemma":[0.9994931,0.00007568586,0.0000377595,0.0002866061,0.00006030907,0.00004653459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003907227,0.00002121368,0.0001003001,0.0000401516,0.00001496792,0.000001176819,0.0003128693,0.00002424231,0.0008683119,0.9669302,0.001841002,0.02984171],"study_design_scores_gemma":[0.0004067692,0.0001833261,0.0001784377,0.00009679843,0.000007644773,0.000004024299,0.00002831781,0.9236544,0.01508317,0.04206587,0.01804217,0.0002490368],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001742162,0.0001015502,0.9917907,0.0001458991,0.00007915212,0.0002729455,0.000001799999,0.0004854018,0.005380437],"genre_scores_gemma":[0.2443408,0.0004079971,0.75274,0.0003460896,0.00003532832,0.000111839,0.000006044966,0.0000134884,0.00199844],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9248643,"threshold_uncertainty_score":0.3645797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01302508625677594,"score_gpt":0.2971907455767789,"score_spread":0.284165659320003,"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."}}