{"id":"https://openalex.org/W7109962227","doi":"https://doi.org/10.1145/3757377.3763811","title":"Motion2Motion: Cross-topology Motion Transfer with Sparse Correspondence","display_name":"Motion2Motion: Cross-topology Motion Transfer with Sparse Correspondence","publication_year":2025,"publication_date":"2025-12-08","ids":{"openalex":"https://openalex.org/W7109962227","doi":"https://doi.org/10.1145/3757377.3763811"},"language":null,"primary_location":{"id":"doi:10.1145/3757377.3763811","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3757377.3763811","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the SIGGRAPH Asia 2025 Conference Papers","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3757377.3763811","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Ling-Hao Chen","orcid":"https://orcid.org/0000-0002-2528-6178"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ling-Hao Chen","raw_affiliation_strings":["Tsinghua University, Shenzhen, -\u9009\u62e9-, China and International Digital Economy Academy, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Shenzhen, -\u9009\u62e9-, China and International Digital Economy Academy, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yuhong Zhang","orcid":"https://orcid.org/0000-0001-6180-4457"},"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":"Yuhong Zhang","raw_affiliation_strings":["Tsinghua University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zixin Yin","orcid":"https://orcid.org/0000-0003-0443-7915"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zixin Yin","raw_affiliation_strings":["The Hong Kong University of Science and Technology, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhiyang Dou","orcid":"https://orcid.org/0000-0003-0186-8269"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zhiyang Dou","raw_affiliation_strings":["The University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xin Chen","orcid":"https://orcid.org/0000-0002-9347-1367"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xin Chen","raw_affiliation_strings":["ByteDance, San Jose, USA"],"affiliations":[{"raw_affiliation_string":"ByteDance, San Jose, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jingbo Wang","orcid":"https://orcid.org/0009-0005-0740-8548"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingbo Wang","raw_affiliation_strings":["Shanghai Artificial Intelligence Laboratory, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Artificial Intelligence Laboratory, Shanghai, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4391012619"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Taku Komura","orcid":"https://orcid.org/0000-0002-2729-5860"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Taku Komura","raw_affiliation_strings":["The University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":null,"display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0001-6926-0538"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["International Digital Economy Academy, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"International Digital Economy Academy, Shenzhen, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I3131625388"],"apc_list":null,"apc_paid":null,"fwci":1.2656,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.85700509,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.5802000164985657,"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":0.5802000164985657,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.14659999310970306,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.10819999873638153,"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/retargeting","display_name":"Retargeting","score":0.6618000268936157},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.6201000213623047},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4862000048160553},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.483599990606308},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4724000096321106},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.4278999865055084},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.40400001406669617},{"id":"https://openalex.org/keywords/skeleton","display_name":"Skeleton (computer programming)","score":0.38109999895095825}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7059000134468079},{"id":"https://openalex.org/C2780575108","wikidata":"https://www.wikidata.org/wiki/Q7316652","display_name":"Retargeting","level":2,"score":0.6618000268936157},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.6201000213623047},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4862000048160553},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.483599990606308},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4724000096321106},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.4278999865055084},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4092000126838684},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.40400001406669617},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.39250001311302185},{"id":"https://openalex.org/C18969341","wikidata":"https://www.wikidata.org/wiki/Q1169129","display_name":"Skeleton (computer programming)","level":2,"score":0.38109999895095825},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.34790000319480896},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.34619998931884766},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33649998903274536},{"id":"https://openalex.org/C148043351","wikidata":"https://www.wikidata.org/wiki/Q4456944","display_name":"Current (fluid)","level":2,"score":0.29179999232292175},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.28679999709129333},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.28519999980926514},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.2838999927043915},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.2799000144004822},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.2687000036239624},{"id":"https://openalex.org/C2776207758","wikidata":"https://www.wikidata.org/wiki/Q5303302","display_name":"Downstream (manufacturing)","level":2,"score":0.263700008392334},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.25270000100135803}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3757377.3763811","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3757377.3763811","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the SIGGRAPH Asia 2025 Conference Papers","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3757377.3763811","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3757377.3763811","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the SIGGRAPH Asia 2025 Conference Papers","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1662758357","https://openalex.org/W2017913224","https://openalex.org/W2137267908","https://openalex.org/W2765437625","https://openalex.org/W2807001332","https://openalex.org/W2902472612","https://openalex.org/W2971856312","https://openalex.org/W2987886924","https://openalex.org/W3025281718","https://openalex.org/W3048474702","https://openalex.org/W3048665613","https://openalex.org/W3124346429","https://openalex.org/W4226091384","https://openalex.org/W4246485769","https://openalex.org/W4251441653","https://openalex.org/W4286611287","https://openalex.org/W4297981470","https://openalex.org/W4297989763","https://openalex.org/W4312671789","https://openalex.org/W4385283834","https://openalex.org/W4385489997","https://openalex.org/W4386065807","https://openalex.org/W4386065848","https://openalex.org/W4386075543","https://openalex.org/W4386076405","https://openalex.org/W4390872247","https://openalex.org/W4390872365","https://openalex.org/W4390872595","https://openalex.org/W4390873382","https://openalex.org/W4391305822","https://openalex.org/W4400573522","https://openalex.org/W4402716148","https://openalex.org/W4402727037","https://openalex.org/W4403249547","https://openalex.org/W4403562310","https://openalex.org/W4403624672","https://openalex.org/W4403792047","https://openalex.org/W4403842319","https://openalex.org/W4412588054","https://openalex.org/W4412595426","https://openalex.org/W4413146190","https://openalex.org/W4415795304"],"related_works":[],"abstract_inverted_index":{"This":[0],"work":[1],"studies":[2],"the":[3,36,47,55,69,99,111],"challenge":[4],"of":[5,49,58,71,107,142],"transfer":[6,24,137],"animations":[7],"between":[8,40,110],"characters":[9],"whose":[10],"skeletal":[11],"topologies":[12,28],"differ":[13],"substantially.":[14],"While":[15],"many":[16],"techniques":[17,21],"have":[18],"advanced":[19],"retargeting":[20],"in":[22,35,131,152],"decades,":[23],"motions":[25,97],"across":[26],"diverse":[27],"remains":[29],"less-explored.":[30],"The":[31,139],"primary":[32],"obstacle":[33],"lies":[34],"inherent":[37],"topological":[38,65],"inconsistency":[39],"source":[41,112],"and":[42,113,119,128,134,155,165],"target":[43,100,114],"skeletons,":[44],"which":[45],"restricts":[46],"establishment":[48],"straightforward":[50],"one-to-one":[51],"bone":[52,108],"correspondences.":[53],"Besides,":[54],"current":[56],"lack":[57],"large-scale":[59],"paired":[60],"motion":[61],"datasets":[62],"spanning":[63],"different":[64],"structures":[66],"severely":[67],"constrains":[68],"development":[70],"data-driven":[72],"approaches.":[73],"To":[74],"address":[75],"these":[76],"limitations,":[77],"we":[78,122],"introduce":[79],"Motion2Motion,":[80],"a":[81,94,104],"novel,":[82],"training-free":[83],"framework.":[84],"Simply":[85],"yet":[86],"effectively,":[87],"Motion2Motion":[88,125],"works":[89],"with":[90],"only":[91],"one":[92],"or":[93],"few":[95],"example":[96],"on":[98],"skeleton,":[101],"by":[102,148],"accessing":[103],"sparse":[105],"set":[106],"correspondences":[109],"skeletons.":[115],"Through":[116],"comprehensive":[117],"qualitative":[118],"quantitative":[120],"evaluations,":[121],"demonstrate":[123],"that":[124],"achieves":[126],"efficient":[127],"reliable":[129],"performance":[130],"both":[132],"similar-skeleton":[133],"cross-species":[135],"skeleton":[136],"scenarios.":[138],"practical":[140],"utility":[141],"our":[143],"approach":[144],"is":[145],"further":[146],"evidenced":[147],"its":[149,159],"successful":[150],"integration":[151],"downstream":[153],"applications":[154],"user":[156],"interfaces,":[157],"highlighting":[158],"potential":[160],"for":[161],"industrial":[162],"applications.":[163],"Code":[164],"data":[166],"are":[167],"available":[168],"at":[169],"https://lhchen.top/Motion2Motion.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-10T02:45:41.426853","created_date":"2025-12-08T00:00:00"}
