{"id":"W4415540083","doi":"10.1145/3746027.3754704","title":"TiP4GEN: Text to Immersive Panorama 4D Scene Generation","year":2025,"lang":"","type":"article","venue":"","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Panorama; Perspective (graphical); Initialization; View synthesis; Virtual reality; Point (geometry); Epipolar geometry; Metric (unit)","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":[0.0002943714,0.001090409,0.0004201503,0.0006402556,0.0002617767,0.0006345027,0.001481559,0.000655177,0.01413416],"category_scores_gemma":[0.00101123,0.0004372921,0.000967721,0.000353168,0.0003573672,0.000896074,0.001897955,0.0008807791,0.002594091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002826015,"about_ca_system_score_gemma":0.000255469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008367326,"about_ca_topic_score_gemma":0.001157569,"domain_scores_codex":[0.9997891,0.00002697715,0.000007876955,0.00004148341,0.0001077863,0.00002693026],"domain_scores_gemma":[0.9997825,0.00005575155,0.00001281696,0.00006013296,0.00005753989,0.00003119152],"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":[0.0005046373,0.0002052149,0.0007563735,0.0004168005,0.0001046025,0.0009185036,0.0006259411,0.06314175,0.1763773,0.02392022,0.0379671,0.6950616],"study_design_scores_gemma":[0.0001610748,0.0002769088,0.0007781112,0.00003747535,0.00005024589,0.001080886,0.0001078463,0.7904595,0.1195439,0.01518226,0.072244,0.00007788013],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005542654,0.0001265846,0.9808642,0.00006160011,0.00008239971,0.0001251825,0.0002001132,0.009219402,0.00377779],"genre_scores_gemma":[0.1771634,0.0003610734,0.8045359,0.0002194566,0.00009620569,0.0003134291,0.001886025,0.004466187,0.01095842],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01413416,"threshold_uncertainty_score":0.04728353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02536760509861617,"score_gpt":0.3158605906939429,"score_spread":0.2904929855953267,"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."}}