{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001189192,0.0001235857,0.000151824,0.0000639695,0.0002292422,0.0001469821,0.000215243,0.00004029994,0.00002890066],"category_scores_gemma":[0.00002123736,0.00009600444,0.00004147421,0.0001498568,0.00005477666,0.0006189026,0.000119314,0.00005034143,0.000001074491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001865634,"about_ca_system_score_gemma":0.00008268812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004484377,"about_ca_topic_score_gemma":0.00002007313,"domain_scores_codex":[0.9992614,0.00005088092,0.0001334611,0.0003020884,0.00007172311,0.0001803803],"domain_scores_gemma":[0.9994025,0.0001132995,0.00004096844,0.0001829626,0.0002076994,0.00005259867],"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":[0.00001707786,0.00001989466,0.00001882925,0.00001921929,0.00005612611,0.000002072446,0.0003786448,0.0002060596,0.0006536717,0.2048832,0.04446725,0.7492779],"study_design_scores_gemma":[0.0002637901,0.00006486993,0.00004393684,0.00000960698,0.00001149737,9.745121e-7,0.0009892976,0.02756155,0.0180645,0.01009034,0.9427633,0.0001363726],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00002269783,0.007021494,0.9298293,0.05476009,0.000808974,0.0002223025,0.00000569045,0.00002249504,0.007306978],"genre_scores_gemma":[0.04662671,0.09686209,0.742191,0.07603698,0.002967013,0.0004514187,0.0000386161,0.00003466431,0.03479153],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.898296,"threshold_uncertainty_score":0.3914948,"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."}}