{"id":"W4412795914","doi":"10.1109/tpami.2025.3594034","title":"Human Motion Video Generation: A Survey","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Pattern Analysis and Machine Intelligence","topic":"Human Pose and Action Recognition","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Artificial Intelligence in Medicine (Canada)","funders":"National Natural Science Foundation of China","keywords":"Computer science; Artificial intelligence; Computer vision; Motion estimation; Motion (physics); Motion analysis","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":[0.0003418416,0.0001641972,0.0002169575,0.0007186173,0.0004171539,0.0002418524,0.0002561387,0.00006510336,0.0002361004],"category_scores_gemma":[0.000005196419,0.0001549884,0.0001667615,0.001289673,0.00003719878,0.0002900235,0.000004294536,0.0001935912,0.00004408407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003583154,"about_ca_system_score_gemma":0.00001590164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001335621,"about_ca_topic_score_gemma":0.005568965,"domain_scores_codex":[0.9986789,0.000168549,0.0003432934,0.0004780853,0.0001765416,0.0001546193],"domain_scores_gemma":[0.9992643,0.00008215398,0.00007699219,0.0003890572,0.0001197434,0.00006777406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002553177,0.0002443352,0.0008436701,0.000010053,0.0003903067,0.000003178492,0.0001063354,0.006902061,0.0008752187,0.0003634168,0.00008824607,0.9901706],"study_design_scores_gemma":[0.0002739709,0.0002017928,0.02810999,0.00004389928,0.0006357213,0.00000696259,0.00002898925,0.59598,0.3725694,0.001323424,0.0002739269,0.0005518917],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01183169,0.00004108409,0.987043,0.0003167556,0.0003052611,0.00009802319,0.00002562157,0.00009140631,0.0002471899],"genre_scores_gemma":[0.9978299,0.00008717148,0.0003448427,0.0007663991,0.0000217303,0.00002417553,0.00002502154,0.000004856432,0.0008959749],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9896187,"threshold_uncertainty_score":0.6320245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0395551343620718,"score_gpt":0.2984418069511616,"score_spread":0.2588866725890898,"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."}}