{"id":"https://openalex.org/W7139935809","doi":"https://doi.org/10.48550/arxiv.2603.18588","title":"A Novel FACS-Aligned Anatomical Text Description Paradigm for Fine-Grained Facial Behavior Synthesis","display_name":"A Novel FACS-Aligned Anatomical Text Description Paradigm for Fine-Grained Facial Behavior Synthesis","publication_year":2026,"publication_date":"2026-03-19","ids":{"openalex":"https://openalex.org/W7139935809","doi":"https://doi.org/10.48550/arxiv.2603.18588"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.18588","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.18588","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.18588","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5130223251","display_name":"Jiahe Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Jiahe","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130244762","display_name":"Cong Liang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liang, Cong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062890586","display_name":"Xuandong Huang","orcid":"https://orcid.org/0000-0001-6629-5129"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Xuandong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130243971","display_name":"Yuxin Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yuxin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130237853","display_name":"Xin Yun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yun, Xin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130238400","display_name":"Yi Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Yi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130237266","display_name":"Yanan Chang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chang, Yanan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5124787581","display_name":"Shangfei Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Shangfei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.4478999972343445,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.4478999972343445,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.3447999954223633,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10709","display_name":"Social Robot Interaction and HRI","score":0.04019999876618385,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.6481000185012817},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.4544000029563904},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.44290000200271606},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.41920000314712524},{"id":"https://openalex.org/keywords/facial-muscles","display_name":"Facial muscles","score":0.4002000093460083},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.3887999951839447},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.37959998846054077}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7263000011444092},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.6481000185012817},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5566999912261963},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.4544000029563904},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.44290000200271606},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.41920000314712524},{"id":"https://openalex.org/C2780905192","wikidata":"https://www.wikidata.org/wiki/Q2341604","display_name":"Facial muscles","level":2,"score":0.4002000093460083},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.3887999951839447},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.37959998846054077},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.35409998893737793},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3499000072479248},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.3465000092983246},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.33899998664855957},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3287000060081482},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.32690000534057617},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.31859999895095825},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.3151000142097473},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3124000132083893},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.28519999980926514},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.28029999136924744},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.2757999897003174}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.18588","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.18588","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.18588","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.18588","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Facial":[0,29],"behavior":[1,60,126],"constitutes":[2],"the":[3,28,117,142,154,186,195],"primary":[4],"medium":[5],"of":[6,157],"human":[7],"nonverbal":[8],"communication.":[9],"Existing":[10],"synthesis":[11,61],"methods":[12],"predominantly":[13],"follow":[14],"two":[15],"paradigms:":[16],"coarse":[17],"emotion":[18],"category":[19],"labels":[20],"or":[21],"one-hot":[22],"Action":[23,30],"Unit":[24],"(AU)":[25],"vectors":[26],"from":[27,62],"Coding":[31],"System":[32],"(FACS).":[33],"Neither":[34],"paradigm":[35,67,196],"reliably":[36],"renders":[37],"fine-grained":[38,124],"facial":[39,59,125,146],"behaviors":[40],"nor":[41],"resolves":[42],"anatomically":[43,57,106],"implausible":[44],"artifacts":[45],"caused":[46],"by":[47],"conflicting":[48,204],"AUs.":[49],"Therefore,":[50],"we":[51,89,114,152,170],"propose":[52,153],"a":[53,91,96,162,173],"novel":[54],"task":[55],"paradigm:":[56],"grounded":[58],"FACS-based":[63],"AU":[64,93,103,158,205],"descriptions.":[65,110],"This":[66],"explicitly":[68],"encodes":[69],"FACS-defined":[70],"muscle":[71,150],"movement":[72],"rules,":[73],"inter-AU":[74],"interactions,":[75],"and":[76,148,180,191,213],"conflict":[77],"resolution":[78],"mechanisms":[79],"into":[80,105],"natural":[81,108],"language":[82,109],"control":[83],"signals.":[84],"To":[85],"enable":[86],"systematic":[87],"research,":[88],"develop":[90],"dynamic":[92],"text":[94],"processor,":[95,113],"FACS":[97],"rule-based":[98],"module":[99],"that":[100,134,165],"converts":[101],"raw":[102],"annotations":[104],"consistent":[107],"Using":[111],"this":[112],"construct":[115],"BP4D-AUText,":[116],"first":[118],"large-scale":[119],"text-image":[120],"paired":[121],"dataset":[122],"for":[123],"synthesis,":[127],"comprising":[128],"over":[129],"302K":[130],"high-quality":[131],"samples.":[132],"Given":[133],"existing":[135],"general":[136],"semantic":[137,167,211],"consistency":[138],"metrics":[139],"cannot":[140],"capture":[141],"alignment":[143],"between":[144],"anatomical":[145,178,209],"descriptions":[147],"synthesized":[149],"movements,":[151],"Alignment":[155],"Accuracy":[156],"Probability":[159],"Distributions":[160],"(AAAD),":[161],"task-specific":[163],"metric":[164],"quantifies":[166],"consistency.":[168],"Finally,":[169],"design":[171],"VQ-AUFace,":[172],"robust":[174],"baseline":[175],"framework":[176],"incorporating":[177],"priors":[179],"progressive":[181],"cross-modal":[182],"alignment,":[183],"to":[184],"validate":[185],"paradigm.":[187],"Extensive":[188],"quantitative":[189],"experiments":[190],"user":[192],"studies":[193],"demonstrate":[194],"significantly":[197],"outperforms":[198],"state-of-the-art":[199],"methods,":[200],"particularly":[201],"in":[202],"challenging":[203],"scenarios,":[206],"achieving":[207],"superior":[208],"fidelity,":[210],"consistency,":[212],"visual":[214],"quality.":[215]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-21T00:00:00"}