{"id":"https://openalex.org/W4415538789","doi":"https://doi.org/10.1145/3746027.3755168","title":"ANT: Adaptive Neural Temporal-Aware Text-to-Motion Model","display_name":"ANT: Adaptive Neural Temporal-Aware Text-to-Motion Model","publication_year":2025,"publication_date":"2025-10-25","ids":{"openalex":"https://openalex.org/W4415538789","doi":"https://doi.org/10.1145/3746027.3755168"},"language":"en","primary_location":{"id":"doi:10.1145/3746027.3755168","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3755168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2506.02452","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013569204","display_name":"Wenshuo Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Wenshuo Chen","raw_affiliation_strings":["The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111226625","display_name":"K. Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kuimou Yu","raw_affiliation_strings":["The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120131959","display_name":"Jia Haozhe","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jia Haozhe","raw_affiliation_strings":["The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113137535","display_name":"Kaishen Yuan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kaishen Yuan","raw_affiliation_strings":["The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110201444","display_name":"Zhuan Qing Huang","orcid":"https://orcid.org/0009-0006-6251-9694"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Zexu Huang","raw_affiliation_strings":["School of Electrical and Data Engineering (SEDE), University of Technology Sydney, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Data Engineering (SEDE), University of Technology Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105920810","display_name":"Bowen Tian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bowen Tian","raw_affiliation_strings":["The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086484127","display_name":"Songning Lai","orcid":"https://orcid.org/0009-0007-3132-9414"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Songning Lai","raw_affiliation_strings":["The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053229311","display_name":"Hongru Xiao","orcid":"https://orcid.org/0009-0007-6715-357X"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongru Xiao","raw_affiliation_strings":["College of Civil Engineering, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"College of Civil Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5096149162","display_name":"Erhang Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Erhang Zhang","raw_affiliation_strings":["Chongxin, Shandong University, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Chongxin, Shandong University, Qingdao, China","institution_ids":["https://openalex.org/I108688024"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100436030","display_name":"Lei Wang","orcid":"https://orcid.org/0000-0002-8600-7099"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Lei Wang","raw_affiliation_strings":["Griffith University, Brisbane, Queensland, Australia and Data61/CSIRO, Canberra, ACT, Australia"],"affiliations":[{"raw_affiliation_string":"Griffith University, Brisbane, Queensland, Australia and Data61/CSIRO, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I11701301","https://openalex.org/I42894916"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052861384","display_name":"Yutao Yue","orcid":"https://orcid.org/0000-0003-4532-0924"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yutao Yue","raw_affiliation_strings":["Thrust of Artificial Intelligence and Thrust of Intelligent Transportation, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China and JITRI, Institute of Deep Perception Technology, Wuxi, China"],"affiliations":[{"raw_affiliation_string":"Thrust of Artificial Intelligence and Thrust of Intelligent Transportation, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China and JITRI, Institute of Deep Perception Technology, Wuxi, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":11,"corresponding_author_ids":["https://openalex.org/A5013569204"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.39373747,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"9852","last_page":"9861"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9907000064849854,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5820000171661377},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.5013999938964844},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.4041999876499176},{"id":"https://openalex.org/keywords/grammatical-evolution","display_name":"Grammatical evolution","score":0.35749998688697815},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.35440000891685486}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7540000081062317},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5939000248908997},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5820000171661377},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.5013999938964844},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.4041999876499176},{"id":"https://openalex.org/C10906938","wikidata":"https://www.wikidata.org/wiki/Q5593687","display_name":"Grammatical evolution","level":3,"score":0.35749998688697815},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.35440000891685486},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.34310001134872437},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.326200008392334},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3012000024318695}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3746027.3755168","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3755168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2506.02452","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2506.02452","pdf_url":"https://arxiv.org/pdf/2506.02452","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2506.02452","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2506.02452","pdf_url":"https://arxiv.org/pdf/2506.02452","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4415538789.pdf"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W2603777577","https://openalex.org/W3153832461","https://openalex.org/W4288079574","https://openalex.org/W4312635677","https://openalex.org/W4312936899","https://openalex.org/W4313145975","https://openalex.org/W4386065848","https://openalex.org/W4390872247","https://openalex.org/W4390872595","https://openalex.org/W4396653437","https://openalex.org/W4402753339","https://openalex.org/W4403791248","https://openalex.org/W4403841197","https://openalex.org/W4403842319"],"related_works":[],"abstract_inverted_index":{"While":[0],"diffusion":[1],"models":[2],"advance":[3],"text-to-motion":[4],"generation,":[5],"their":[6],"static":[7],"semantic":[8,59,116],"conditioning":[9],"ignores":[10],"temporal-frequency":[11],"demands:":[12],"early":[13],"denoising":[14,70],"requires":[15],"structural":[16,73],"semantics":[17],"for":[18,27],"motion":[19],"foundations":[20],"while":[21,95],"later":[22],"stages":[23],"need":[24],"localized":[25],"details":[26],"text":[28],"alignment.":[29],"This":[30],"mismatch":[31],"mirrors":[32],"biological":[33],"morphogenesis":[34],"where":[35],"developmental":[36],"phases":[37],"demand":[38],"distinct":[39],"genetic":[40],"programs.":[41],"Inspired":[42],"by":[43],"epigenetic":[44],"regulation":[45],"governing":[46],"morphological":[47],"specialization,":[48],"we":[49],"propose":[50],"**(ANT)**,":[51],"an":[52],"**A**daptive":[53],"**N**eural":[54],"**T**emporal-Aware":[55],"architecture.":[56],"ANT":[57,102],"orchestrates":[58],"granularity":[60],"through:":[61],"**(i)":[62],"Semantic":[63],"Temporally":[64],"Adaptive":[65],"(STA)":[66],"Module:**":[67],"Automatically":[68],"partitions":[69],"into":[71],"low-frequency":[72],"planning":[74],"and":[75,113],"high-frequency":[76],"refinement":[77],"via":[78],"spectral":[79],"analysis.":[80],"**(ii)":[81],"Dynamic":[82],"Classifier-Free":[83],"Guidance":[84],"scheduling":[85],"(DCFG):**":[86],"Adaptively":[87],"adjusts":[88],"conditional":[89],"to":[90,106],"unconditional":[91],"ratio":[92],"enhancing":[93],"efficiency":[94],"maintaining":[96],"fidelity.":[97],"Extensive":[98],"experiments":[99],"show":[100],"that":[101],"can":[103],"be":[104],"applied":[105],"various":[107],"baselines,":[108],"significantly":[109],"improving":[110],"model":[111],"performance,":[112],"achieving":[114],"state-of-the-art":[115],"alignment":[117],"on":[118],"StableMoFusion.":[119]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-25T00:00:00"}
