{"id":"https://openalex.org/W4403576618","doi":"https://doi.org/10.1145/3688865.3689476","title":"AdaptControl: Adaptive Human Motion Control and Generation via User Prompt and Spatial Trajectory Guidance","display_name":"AdaptControl: Adaptive Human Motion Control and Generation via User Prompt and Spatial Trajectory Guidance","publication_year":2024,"publication_date":"2024-10-20","ids":{"openalex":"https://openalex.org/W4403576618","doi":"https://doi.org/10.1145/3688865.3689476"},"language":"en","primary_location":{"id":"doi:10.1145/3688865.3689476","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3688865.3689476","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Workshop on Human-centric Multimedia Analysis","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5107899806","display_name":"Qingyuan Liu","orcid":"https://orcid.org/0009-0003-5877-2126"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qingyuan Liu","raw_affiliation_strings":["University of the Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of the Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057813417","display_name":"Zehai Niu","orcid":"https://orcid.org/0009-0003-1732-8627"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zehai Niu","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072833759","display_name":"Ke L\u00fc","orcid":"https://orcid.org/0000-0003-0176-3088"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Lu","raw_affiliation_strings":["University of the Chinese Academy of Sciences &amp; Peng Cheng Laboratory, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of the Chinese Academy of Sciences &amp; Peng Cheng Laboratory, Beijing, China","institution_ids":["https://openalex.org/I4210136793","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020448872","display_name":"Kun Dong","orcid":"https://orcid.org/0009-0006-3714-1650"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Dong","raw_affiliation_strings":["University of the Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of the Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100763213","display_name":"Jian Xue","orcid":"https://orcid.org/0000-0002-9460-802X"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Xue","raw_affiliation_strings":["University of the Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of the Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018252335","display_name":"Xiaoyu Qin","orcid":"https://orcid.org/0000-0002-9720-3220"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu Qin","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101698854","display_name":"Jinbao Wang","orcid":"https://orcid.org/0000-0001-5916-8965"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinbao Wang","raw_affiliation_strings":["Shenzhen University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen University, Beijing, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5107899806"],"corresponding_institution_ids":["https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21168501,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"13","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9965999722480774,"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":0.9965999722480774,"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/T10648","display_name":"Virtual Reality Applications and Impacts","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11687","display_name":"Teleoperation and Haptic Systems","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.8421991467475891},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6451579332351685},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5754857063293457},{"id":"https://openalex.org/keywords/motion-control","display_name":"Motion control","score":0.5144389271736145},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4330779016017914},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3590535521507263},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.1108323335647583},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.088542640209198}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.8421991467475891},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6451579332351685},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5754857063293457},{"id":"https://openalex.org/C145565327","wikidata":"https://www.wikidata.org/wiki/Q852514","display_name":"Motion control","level":3,"score":0.5144389271736145},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4330779016017914},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3590535521507263},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.1108323335647583},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.088542640209198},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3688865.3689476","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3688865.3689476","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Workshop on Human-centric Multimedia Analysis","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1487977235","https://openalex.org/W2964076328","https://openalex.org/W2971856312","https://openalex.org/W2982625143","https://openalex.org/W3160273689","https://openalex.org/W3215615641","https://openalex.org/W4212774754","https://openalex.org/W4225609743","https://openalex.org/W4281872541","https://openalex.org/W4288079574","https://openalex.org/W4297981470","https://openalex.org/W4312238920","https://openalex.org/W4312635677","https://openalex.org/W4312933868","https://openalex.org/W4386072465","https://openalex.org/W4386076106","https://openalex.org/W4386076288","https://openalex.org/W4386083079","https://openalex.org/W4386083180","https://openalex.org/W4390873054","https://openalex.org/W4390873580","https://openalex.org/W4390874125","https://openalex.org/W4390874263","https://openalex.org/W4390874423","https://openalex.org/W4391305822"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"In":[0],"the":[1,58,63,75,104,123,130,138,146,152,161,166,170,175,179,185,218],"field":[2],"of":[3,66,78,96,220],"generative":[4],"multimedia":[5],"and":[6,16,54,62,112,133,148,202,211,216,223],"interactive":[7,212,224],"experiences,":[8],"human":[9,28,67,79,213],"motion":[10,55,92,106,125,200,214],"generation":[11,93,215],"guided":[12,167],"by":[13],"natural":[14],"language":[15],"spatial":[17,33,51,59,98,113,131,149],"signals":[18,61],"has":[19],"emerged":[20],"as":[21],"a":[22,39,48,91,117],"critical":[23],"research":[24],"direction.":[25],"However,":[26],"generating":[27],"motions":[29,80],"that":[30,103,192],"precisely":[31],"follow":[32],"trajectories":[34],"while":[35,101,127],"maintaining":[36,134],"naturalness":[37],"remains":[38],"significant":[40],"challenge.":[41],"Existing":[42],"methods":[43,196],"often":[44],"struggle":[45],"to":[46,108,121,154,183],"achieve":[47],"balance":[49],"between":[50],"control":[52,77,100],"precision":[53],"realism.":[56],"Moreover,":[57],"guidance":[60],"relative":[64],"rotations":[65],"limbs":[68],"reside":[69],"in":[70,197],"different":[71],"representation":[72],"spaces,":[73],"complicating":[74],"precise":[76,97],"along":[81],"specified":[82],"paths.":[83],"To":[84],"address":[85],"these":[86],"issues,":[87],"we":[88],"propose":[89],"AdaptControl,":[90],"model":[94,153],"capable":[95],"trajectory":[99,198],"ensuring":[102],"generated":[105,124],"adheres":[107],"both":[109,158],"text":[110,147],"descriptions":[111],"guidance.":[114],"AdaptControl":[115,193],"employs":[116],"Natural":[118,171],"Guidance":[119,172],"module":[120,164,173],"optimize":[122],"noise":[126,168],"closely":[128],"following":[129],"constraints":[132],"realistic":[135],"dynamics.":[136],"Simultaneously,":[137],"Control":[139,180],"Dominance":[140,181],"Adjustor":[141,182],"adaptively":[142],"fuses":[143],"features":[144,177],"from":[145,157,169,178],"signals,":[150],"allowing":[151],"consider":[155],"information":[156],"sources.":[159],"Finally,":[160],"Fusion":[162],"Diffusion":[163],"integrates":[165],"with":[174],"fused":[176],"generate":[184],"final":[186],"output":[187],"motion.":[188],"Extensive":[189],"experiments":[190],"demonstrate":[191],"outperforms":[194],"state-of-the-art":[195],"adherence,":[199],"realism,":[201],"semantic":[203],"consistency,":[204],"opening":[205],"up":[206],"new":[207],"possibilities":[208],"for":[209],"intuitive":[210],"facilitating":[217],"development":[219],"user-centered":[221],"design":[222],"applications.":[225]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
