{"id":"https://openalex.org/W7161791528","doi":"https://doi.org/10.48550/arxiv.2605.19355","title":"Skinned Motion Retargeting with Spatially Adaptive Interaction Guidance","display_name":"Skinned Motion Retargeting with Spatially Adaptive Interaction Guidance","publication_year":2026,"publication_date":"2026-05-19","ids":{"openalex":"https://openalex.org/W7161791528","doi":"https://doi.org/10.48550/arxiv.2605.19355"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.19355","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.19355","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":null,"license_id":null,"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.2605.19355","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067150137","display_name":"Soojin Choi","orcid":"https://orcid.org/0000-0002-0832-6545"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Choi, Soojin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101233330","display_name":"Seokhyeon Hong","orcid":"https://orcid.org/0000-0002-8490-5338"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hong, Seokhyeon","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071349330","display_name":"Chaelin Kim","orcid":"https://orcid.org/0000-0001-7720-3349"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kim, Chaelin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088453163","display_name":"Junghyun Nam","orcid":"https://orcid.org/0000-0001-5939-6482"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nam, Junghyun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035430255","display_name":"Junhyuk Jeon","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jeon, Junhyuk","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136539221","display_name":"Junyong Noh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Noh, Junyong","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/T12290","display_name":"Human Motion and Animation","score":0.8014000058174133,"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":0.8014000058174133,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.0869000032544136,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.052400000393390656,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/retargeting","display_name":"Retargeting","score":0.9042999744415283},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.6381999850273132},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5740000009536743},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.5034999847412109},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.4490000009536743},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.44020000100135803},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4223000109195709},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.3711000084877014}],"concepts":[{"id":"https://openalex.org/C2780575108","wikidata":"https://www.wikidata.org/wiki/Q7316652","display_name":"Retargeting","level":2,"score":0.9042999744415283},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6845999956130981},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6439999938011169},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6381999850273132},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6158999800682068},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5740000009536743},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.5034999847412109},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.4490000009536743},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.44020000100135803},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4223000109195709},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.3711000084877014},{"id":"https://openalex.org/C157202957","wikidata":"https://www.wikidata.org/wiki/Q1659609","display_name":"Image warping","level":2,"score":0.36239999532699585},{"id":"https://openalex.org/C90697248","wikidata":"https://www.wikidata.org/wiki/Q1062896","display_name":"Character animation","level":4,"score":0.35010001063346863},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.33149999380111694},{"id":"https://openalex.org/C50637493","wikidata":"https://www.wikidata.org/wiki/Q1136781","display_name":"Morphing","level":2,"score":0.3222000002861023},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.30979999899864197},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2833000123500824},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2727000117301941},{"id":"https://openalex.org/C145980571","wikidata":"https://www.wikidata.org/wiki/Q192788","display_name":"Rigid body","level":2,"score":0.2653999924659729},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.26100000739097595},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.251800000667572}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.19355","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.19355","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.19355","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.19355","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.4124743640422821}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Retargeting":[0],"motion":[1,58,151,168],"across":[2,199],"characters":[3],"with":[4,76],"varying":[5],"body":[6,49],"shapes":[7],"while":[8],"preserving":[9,196],"interaction":[10,63,197],"semantics,":[11],"such":[12],"as":[13],"self-contact":[14],"and":[15,106,167],"near-body":[16],"proximity,":[17],"remains":[18],"a":[19,56,97,145],"challenging":[20],"problem.":[21],"While":[22],"recent":[23],"geometry-aware":[24,57],"approaches":[25,194],"address":[26],"this":[27,52],"by":[28,65],"maintaining":[29],"spatial":[30,125,155],"relationships":[31],"between":[32,164],"predefined":[33],"corresponding":[34],"regions,":[35],"their":[36],"reliance":[37],"on":[38,89,113,142],"static":[39,77],"correspondences":[40],"often":[41],"struggles":[42],"when":[43],"the":[44,80,90,108,114,128,131,154,158],"target":[45,91,115,149],"character":[46,116,201],"exhibits":[47],"exaggerated":[48],"proportions.":[50],"In":[51],"paper,":[53],"we":[54,170,187],"present":[55],"retargeting":[59],"framework":[60],"that":[61,102,152,189],"preserves":[62,153],"semantics":[64],"performing":[66],"proximity":[67],"matching":[68],"over":[69],"spatially":[70],"adaptive":[71],"anchors.":[72],"Unlike":[73],"prior":[74],"methods":[75],"anchor":[78,99,104,165],"definitions,":[79],"proposed":[81],"method":[82,191],"dynamically":[83],"repositions":[84],"anchors":[85,110,133],"to":[86,111],"reachable":[87],"regions":[88],"character.":[92],"This":[93],"is":[94,180],"achieved":[95],"via":[96],"Transformer-based":[98],"refinement":[100],"strategy":[101],"predicts":[103,148],"displacements":[105],"constrains":[107],"translated":[109],"remain":[112],"geometry":[117],"through":[118],"differentiable":[119],"soft":[120],"projection.":[121],"By":[122],"incorporating":[123],"pose-dependent":[124],"structures":[126],"from":[127],"source":[129],"character,":[130],"adapted":[132],"provide":[134],"structurally":[135],"coherent":[136],"guidance":[137],"for":[138],"interaction-aware":[139],"retargeting.":[140],"Conditioned":[141],"these":[143],"anchors,":[144],"graph-based":[146],"autoencoder":[147],"skeletal":[150],"configuration":[156],"of":[157],"source.":[159],"To":[160],"encourage":[161],"task-aligned":[162],"optimization":[163],"adaptation":[166],"retargeting,":[169],"adopt":[171],"an":[172],"alternating":[173],"training":[174],"scheme":[175],"in":[176,182,195],"which":[177],"each":[178],"module":[179],"optimized":[181],"turn.":[183],"Through":[184],"extensive":[185],"evaluations,":[186],"demonstrate":[188],"our":[190],"outperforms":[192],"state-of-the-art":[193],"fidelity":[198],"diverse":[200],"geometries.":[202]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-21T00:00:00"}