{"id":"https://openalex.org/W4408099458","doi":"https://doi.org/10.1109/lsp.2025.3546885","title":"MSTDF: Motion Style Transfer Towards High Visual Fidelity Based on Dynamic Fusion","display_name":"MSTDF: Motion Style Transfer Towards High Visual Fidelity Based on Dynamic Fusion","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4408099458","doi":"https://doi.org/10.1109/lsp.2025.3546885"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2025.3546885","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3546885","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-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/A5086505410","display_name":"Ziyun Qian","orcid":"https://orcid.org/0009-0007-9800-1253"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ziyun Qian","raw_affiliation_strings":["Academy for Engineering and Technology, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0007-9800-1253","affiliations":[{"raw_affiliation_string":"Academy for Engineering and Technology, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064280715","display_name":"Dingkang Yang","orcid":"https://orcid.org/0000-0003-1829-5671"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dingkang Yang","raw_affiliation_strings":["Academy for Engineering and Technology, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-1829-5671","affiliations":[{"raw_affiliation_string":"Academy for Engineering and Technology, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mingcheng Li","orcid":"https://orcid.org/0009-0000-6244-6081"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingcheng Li","raw_affiliation_strings":["Academy for Engineering and Technology, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0000-6244-6081","affiliations":[{"raw_affiliation_string":"Academy for Engineering and Technology, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zeyu Xiao","orcid":"https://orcid.org/0009-0003-7522-9301"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeyu Xiao","raw_affiliation_strings":["Academy for Engineering and Technology, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0003-7522-9301","affiliations":[{"raw_affiliation_string":"Academy for Engineering and Technology, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":null,"display_name":"Lihua Zhang","orcid":"https://orcid.org/0000-0003-0467-4347"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lihua Zhang","raw_affiliation_strings":["Academy for Engineering and Technology, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-0467-4347","affiliations":[{"raw_affiliation_string":"Academy for Engineering and Technology, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5086505410"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02511252,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"32","issue":null,"first_page":"1101","last_page":"1105"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9965000152587891,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9965000152587891,"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/T12290","display_name":"Human Motion and Animation","score":0.9758999943733215,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9732999801635742,"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/computer-science","display_name":"Computer science","score":0.6882225275039673},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5893884301185608},{"id":"https://openalex.org/keywords/style","display_name":"Style (visual arts)","score":0.576343834400177},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5448269248008728},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5271498560905457},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.49812889099121094},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.44979146122932434},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11363953351974487},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0649929940700531}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6882225275039673},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5893884301185608},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.576343834400177},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5448269248008728},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5271498560905457},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.49812889099121094},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.44979146122932434},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11363953351974487},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0649929940700531},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2025.3546885","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3546885","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1966424962","https://openalex.org/W2007041320","https://openalex.org/W2024218186","https://openalex.org/W2028000151","https://openalex.org/W2032893275","https://openalex.org/W2049077434","https://openalex.org/W2066064791","https://openalex.org/W2144481990","https://openalex.org/W2151857564","https://openalex.org/W2364714732","https://openalex.org/W2603777577","https://openalex.org/W2793833596","https://openalex.org/W2962793481","https://openalex.org/W2966387353","https://openalex.org/W3024902055","https://openalex.org/W3183695050","https://openalex.org/W3200612871","https://openalex.org/W3202767484","https://openalex.org/W3204107037","https://openalex.org/W4226325672","https://openalex.org/W4293518720","https://openalex.org/W4312497610","https://openalex.org/W4385245566","https://openalex.org/W4386076056","https://openalex.org/W4387319294","https://openalex.org/W4387609067","https://openalex.org/W4390889756","https://openalex.org/W4402754100","https://openalex.org/W6609984913","https://openalex.org/W6637568146","https://openalex.org/W6678677866","https://openalex.org/W6685057100","https://openalex.org/W6765779288","https://openalex.org/W6839178539"],"related_works":["https://openalex.org/W2381850946","https://openalex.org/W4380449851","https://openalex.org/W3125091513","https://openalex.org/W4248383205","https://openalex.org/W4234745530","https://openalex.org/W2146383839","https://openalex.org/W2356229341","https://openalex.org/W2231829109","https://openalex.org/W2789577489","https://openalex.org/W2372185929"],"abstract_inverted_index":{"Emotion-guided":[0],"motion":[1,14,37,50,72,82,95,115],"style":[2,38,71,83,96,112],"transfer":[3],"is":[4],"a":[5,56],"novel":[6,57],"research":[7],"direction,":[8],"enabling":[9],"the":[10,47,88,100,108,118,129],"efficient":[11],"generation":[12],"of":[13,49,90,114],"in":[15,21,46,120,139],"various":[16],"emotional":[17],"styles":[18],"for":[19,36,80],"use":[20],"films,":[22],"games,":[23],"and":[24,44,70,76,110,141],"other":[25],"domains.":[26],"However,":[27],"existing":[28],"methods":[29,138],"primarily":[30],"rely":[31],"on":[32,62,128],"global":[33],"feature":[34],"statistics":[35],"transfer,":[39],"neglecting":[40],"local":[41],"semantic":[42],"structure":[43],"resulting":[45],"degradation":[48],"content":[51,69],"structure.":[52],"This":[53],"letter":[54],"proposes":[55],"Motion":[58,101],"Style":[59],"Transfer":[60],"based":[61],"Dynamic":[63,102],"Fusion":[64,103],"(MSTDF)":[65],"framework,":[66],"which":[67],"treats":[68],"as":[73],"distinct":[74],"signals":[75],"employs":[77],"dynamic":[78],"fusion":[79],"high-fidelity":[81],"transfer.":[84],"Additionally,":[85],"to":[86,106],"address":[87],"challenge":[89],"traditional":[91],"discriminators":[92],"capturing":[93],"subtle":[94],"features,":[97],"we":[98],"propose":[99],"(MDF)":[104],"discriminator":[105],"capture":[107],"details":[109],"fine-grained":[111],"characteristics":[113],"sequences,":[116],"assisting":[117],"generator":[119],"producing":[121],"higher-fidelity":[122],"stylized":[123],"motion.":[124],"Finally,":[125],"extensive":[126],"experiments":[127],"Xia":[130],"dataset":[131],"demonstrate":[132],"that":[133],"our":[134],"method":[135],"surpasses":[136],"state-of-the-art":[137],"qualitative":[140],"quantitative":[142],"comparisons.":[143]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
