{"id":"https://openalex.org/W4411472315","doi":"https://doi.org/10.1109/tmm.2025.3581749","title":"DEHand: Deformable Encoding for Photo-Realistic Free-View and Free-Pose Hand Rendering","display_name":"DEHand: Deformable Encoding for Photo-Realistic Free-View and Free-Pose Hand Rendering","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4411472315","doi":"https://doi.org/10.1109/tmm.2025.3581749"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2025.3581749","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2025.3581749","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Transactions on Multimedia","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/A5078066178","display_name":"Yuee Teng","orcid":"https://orcid.org/0000-0002-9198-9795"},"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"]},{"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":true,"raw_author_name":"Yunzhi Teng","raw_affiliation_strings":["Shenzhen Key Laboratory of Ubiquitous Data Enabling, Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory of Ubiquitous Data Enabling, Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101770401","display_name":"Xiaoke Huang","orcid":"https://orcid.org/0000-0003-1658-6432"},"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"]},{"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":false,"raw_author_name":"Xiaoke Huang","raw_affiliation_strings":["Shenzhen Key Laboratory of Ubiquitous Data Enabling, Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory of Ubiquitous Data Enabling, Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101988767","display_name":"Kejie Li","orcid":"https://orcid.org/0000-0001-8821-7762"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kejie Li","raw_affiliation_strings":["ByteDance, San Jose, CA, USA","ByteDance, California, America"],"affiliations":[{"raw_affiliation_string":"ByteDance, San Jose, CA, USA","institution_ids":[]},{"raw_affiliation_string":"ByteDance, California, America","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105580305","display_name":"Xiaoping Zhang","orcid":null},"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"]},{"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":false,"raw_author_name":"Xiao-Ping Zhang","raw_affiliation_strings":["Shenzhen Key Laboratory of Ubiquitous Data Enabling, Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory of Ubiquitous Data Enabling, Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101926295","display_name":"Yansong Tang","orcid":"https://orcid.org/0000-0002-8768-8498"},"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"]},{"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":"Yansong Tang","raw_affiliation_strings":["Shenzhen Key Laboratory of Ubiquitous Data Enabling, Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory of Ubiquitous Data Enabling, Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5078066178"],"corresponding_institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19617664,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"27","issue":null,"first_page":"6284","last_page":"6295"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9973000288009644,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9962999820709229,"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":0.8358359932899475},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.6133942008018494},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5894615650177002},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.5778710842132568},{"id":"https://openalex.org/keywords/hands-free","display_name":"Hands free","score":0.5605540871620178},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5167109966278076},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4919278621673584},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.2239067554473877}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8358359932899475},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6133942008018494},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5894615650177002},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.5778710842132568},{"id":"https://openalex.org/C3018339088","wikidata":"https://www.wikidata.org/wiki/Q28460","display_name":"Hands free","level":2,"score":0.5605540871620178},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5167109966278076},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4919278621673584},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2239067554473877}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2025.3581749","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2025.3581749","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Transactions on Multimedia","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":73,"referenced_works":["https://openalex.org/W1815774045","https://openalex.org/W1969595749","https://openalex.org/W1974700302","https://openalex.org/W1985891935","https://openalex.org/W2096384811","https://openalex.org/W2133665775","https://openalex.org/W2140693291","https://openalex.org/W2307770531","https://openalex.org/W2511561981","https://openalex.org/W2768683308","https://openalex.org/W2899905067","https://openalex.org/W2951033711","https://openalex.org/W2962785568","https://openalex.org/W3033909069","https://openalex.org/W3107825842","https://openalex.org/W3117357611","https://openalex.org/W3176327543","https://openalex.org/W3195349439","https://openalex.org/W3203570626","https://openalex.org/W3204654630","https://openalex.org/W4200150166","https://openalex.org/W4200502498","https://openalex.org/W4206004830","https://openalex.org/W4210867793","https://openalex.org/W4214625585","https://openalex.org/W4221151978","https://openalex.org/W4226047505","https://openalex.org/W4226095747","https://openalex.org/W4226147466","https://openalex.org/W4237648096","https://openalex.org/W4245933748","https://openalex.org/W4288242633","https://openalex.org/W4312341890","https://openalex.org/W4312435448","https://openalex.org/W4312597750","https://openalex.org/W4312891300","https://openalex.org/W4312925709","https://openalex.org/W4313165271","https://openalex.org/W4313306252","https://openalex.org/W4318586187","https://openalex.org/W4380032357","https://openalex.org/W4385245566","https://openalex.org/W4385318467","https://openalex.org/W4385489997","https://openalex.org/W4386065636","https://openalex.org/W4386065885","https://openalex.org/W4386066366","https://openalex.org/W4386066443","https://openalex.org/W4386075550","https://openalex.org/W4386075787","https://openalex.org/W4386076168","https://openalex.org/W4386076589","https://openalex.org/W4386076687","https://openalex.org/W4386076700","https://openalex.org/W4386078148","https://openalex.org/W4386083054","https://openalex.org/W4386083092","https://openalex.org/W4386158912","https://openalex.org/W4388430467","https://openalex.org/W4390241289","https://openalex.org/W4390872305","https://openalex.org/W4390872539","https://openalex.org/W4390872660","https://openalex.org/W4390872696","https://openalex.org/W4390873675","https://openalex.org/W4390874304","https://openalex.org/W4390889818","https://openalex.org/W4390970200","https://openalex.org/W4393154876","https://openalex.org/W4394804926","https://openalex.org/W4402775731","https://openalex.org/W4402777641","https://openalex.org/W4413559338"],"related_works":["https://openalex.org/W291250033","https://openalex.org/W2035757446","https://openalex.org/W3137044537","https://openalex.org/W2008385118","https://openalex.org/W880955280","https://openalex.org/W2106647072","https://openalex.org/W2172753644","https://openalex.org/W2170209930","https://openalex.org/W4246858109","https://openalex.org/W54172855"],"abstract_inverted_index":{"Input":[0],"encoding":[1,25,79,128,140,147],"has":[2,30],"proven":[3],"crucial":[4],"in":[5,52,228],"the":[6,17,40,55,59,67,83,150,215,223],"success":[7],"of":[8,42,72,77,97,153,175,219,225],"methods":[9],"based":[10],"on":[11,19,212],"neural":[12,84],"radiance":[13],"field.":[14],"Compared":[15],"to":[16,39,54,134,164],"literature":[18],"general":[20],"static":[21,145],"scene":[22],"modeling,":[23],"input":[24,78,146],"for":[26,65,88,116,149,184],"dynamic":[27,63,154,203],"hand":[28,64,90,158,185,204],"modeling":[29,41],"been":[31],"less":[32],"explored.":[33],"However,":[34],"this":[35,73,98],"aspect":[36],"is":[37,141],"critical":[38],"deformation":[43],"and":[44,69,101,119,180,222],"rendering,":[45,205],"as":[46,161],"it":[47],"maps":[48],"a":[49,106,130,162,172,195],"sampled":[50,169],"point":[51],"space":[53,173],"representation":[56,108],"containing":[57],"all":[58],"information":[60,183],"associated":[61],"with":[62,129,191],"inferring":[66],"geometry":[68],"appearance":[70],"property":[71],"point.":[74],"The":[75],"design":[76],"determines":[80],"how":[81],"well":[82],"network":[85],"can":[86,200],"learn":[87],"photo-realistic":[89,117],"rendering.":[91,124,138],"We":[92],"offer":[93],"an":[94],"in-depth":[95],"examination":[96],"key":[99],"component":[100,227],"introduce":[102],"<underline":[103,110,113,121],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[104,111,114,122],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><b>DEHand</b></u>,":[105],"new":[107],"utilizing":[109],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><b>D</b></u>eformable":[112],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><b>E</b></u>ncoding":[115],"free-view":[118],"free-pose":[120],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><b>Hand</b></u>":[123],"DEHand":[125],"leverages":[126],"deformable":[127,193],"latent":[131],"code":[132],"map":[133,168],"achieve":[135,201],"high-quality,":[136],"pose-controlled":[137],"Deformable":[139],"achieved":[142],"by":[143],"adapting":[144],"techniques":[148],"view":[151],"synthesis":[152],"hands,":[155],"using":[156],"parametric":[157],"mesh":[159],"model":[160],"proxy":[163],"construct":[165],"encodings":[166],"that":[167,190],"points":[170],"into":[171],"capable":[174],"integrating":[176],"over":[177],"different":[178],"poses":[179],"providing":[181],"rich":[182],"modeling.":[186],"Our":[187],"findings":[188],"demonstrate":[189],"our":[192,220,229],"encoding,":[194],"single":[196],"Multilayer":[197],"Perceptron":[198],"(MLP)":[199],"high-quality":[202],"learning":[206],"solely":[207],"from":[208],"images.":[209],"Extensive":[210],"experiments":[211],"InterHand2.6M":[213],"validate":[214],"superior":[216],"rendering":[217],"quality":[218],"method":[221],"effectiveness":[224],"each":[226],"design.":[230]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
