{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001110393,0.0008638749,0.0004858623,0.000297508,0.0002469393,0.0007980536,0.001485036,0.001159081,0.00526072],"category_scores_gemma":[0.003159557,0.0004886954,0.0008289599,0.0001751721,0.0009495639,0.001145557,0.001752794,0.001579453,0.001581853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005217335,"about_ca_system_score_gemma":0.0003870506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001375512,"about_ca_topic_score_gemma":0.001586697,"domain_scores_codex":[0.9994342,0.0002033247,0.00001620533,0.0001234447,0.0001889043,0.00003389476],"domain_scores_gemma":[0.9990743,0.0005557396,0.00004721345,0.0001917128,0.000079953,0.000051111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001512035,0.00009773103,0.0005366269,0.0001446935,0.00006388548,0.0002454337,0.0003347073,0.8164629,0.03091326,0.0259915,0.004163732,0.1208943],"study_design_scores_gemma":[0.000009582083,0.00003133104,0.00004194612,0.000007058589,0.000005029272,0.00008147847,0.00001172197,0.9876938,0.004715345,0.005061478,0.002332068,0.000009245748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007804942,0.0001494602,0.9875607,0.0001531793,0.00007869735,0.00005338317,0.0000576682,0.001593391,0.002548541],"genre_scores_gemma":[0.5748668,0.0004138748,0.4073123,0.0005150601,0.00008621184,0.0002349146,0.0005410407,0.001641154,0.01438863],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00526072,"threshold_uncertainty_score":0.01759881,"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."}}