{"id":"W4414359203","doi":"10.24963/ijcai.2025/1162","title":"Generative AI for Immersive Video: Recent Advances and Future Opportunities","year":2025,"lang":"en","type":"article","venue":"","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; McGill University","funders":"","keywords":"Categorization; Key (lock); Component (thermodynamics); Virtual reality; Pipeline (software); Scalability; Generative grammar","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":[0.001450501,0.0006114568,0.0006205296,0.0009060976,0.00036549,0.002276624,0.001146544,0.001195578,0.004163916],"category_scores_gemma":[0.003533899,0.0003670541,0.0006144711,0.001119117,0.001857981,0.003087008,0.001588753,0.002179839,0.001021082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000705376,"about_ca_system_score_gemma":0.0004857465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008785198,"about_ca_topic_score_gemma":0.001009359,"domain_scores_codex":[0.9993992,0.0002222796,0.00003111112,0.0001114559,0.0001944141,0.00004149785],"domain_scores_gemma":[0.9965898,0.002875356,0.00007372172,0.0001792238,0.0002064393,0.00007538279],"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":[0.00007393485,0.0001046753,0.001557287,0.003094151,0.00009642831,0.0001959166,0.001015952,0.03214017,0.004218394,0.3299239,0.007947993,0.6196312],"study_design_scores_gemma":[0.00002753231,0.0002994831,0.001713003,0.001544395,0.0001048853,0.0009363638,0.001041952,0.2433791,0.005995993,0.3677659,0.3770777,0.0001137167],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01446387,0.4832409,0.4325264,0.007755518,0.0006819908,0.00009212866,0.0001194524,0.0005567295,0.0605631],"genre_scores_gemma":[0.3048842,0.5235875,0.15279,0.002239734,0.002206513,0.0001997839,0.0003288955,0.0002989044,0.01346452],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004163916,"threshold_uncertainty_score":0.01392972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02195010834225365,"score_gpt":0.2699430495987455,"score_spread":0.2479929412564919,"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."}}