{"id":"W4417408815","doi":"10.1109/iccv51701.2025.00995","title":"Tera: Rethinking Text-Guided Realistic 3D Avatar Generation","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":"Concordia University","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Avatar; Generative grammar; Generative model; Personalization; Generative Design; Perspective (graphical)","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":[0.0003594788,0.0001320766,0.0001485215,0.0001029296,0.0002631722,0.000325499,0.0004935444,0.00006295628,0.00006599577],"category_scores_gemma":[0.0001355383,0.0001115304,0.00005147279,0.0003996216,0.00002983208,0.0004475051,0.0002079735,0.00009837511,0.00004077984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004995538,"about_ca_system_score_gemma":0.00007937128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002060451,"about_ca_topic_score_gemma":0.00009965635,"domain_scores_codex":[0.9988375,0.0001198849,0.0002552357,0.0004044,0.0001633378,0.0002196073],"domain_scores_gemma":[0.999167,0.00009382161,0.00005424957,0.0005185551,0.0001232273,0.0000431808],"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":[0.000005289418,0.00007874078,0.0003008657,0.00002205735,0.00009887907,0.00002310138,0.0008769434,0.02222906,0.03143103,0.4678679,0.2884774,0.1885888],"study_design_scores_gemma":[0.0001867388,0.00001810197,0.0004331117,0.0000239125,0.00001258289,0.000002804251,0.000006799814,0.9630257,0.01260309,0.007906089,0.01561127,0.0001698173],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0004819085,0.00009789196,0.9536881,0.003024263,0.0008143309,0.0001217495,9.314349e-7,0.00014996,0.04162082],"genre_scores_gemma":[0.6769207,0.00002548796,0.3130125,0.003282492,0.0003283486,0.00001336229,0.00001045038,0.000006278663,0.006400372],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9407966,"threshold_uncertainty_score":0.4548077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03305778181066126,"score_gpt":0.2678968008375871,"score_spread":0.2348390190269258,"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."}}