{"id":"https://openalex.org/W4415366985","doi":"https://doi.org/10.1109/tvcg.2025.3623198","title":"HFHuman: High-Fidelity Human Reconstruction From Single Image With Multi-Modality Fusion","display_name":"HFHuman: High-Fidelity Human Reconstruction From Single Image With Multi-Modality Fusion","publication_year":2025,"publication_date":"2025-10-20","ids":{"openalex":"https://openalex.org/W4415366985","doi":"https://doi.org/10.1109/tvcg.2025.3623198","pmid":"https://pubmed.ncbi.nlm.nih.gov/41115080"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2025.3623198","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2025.3623198","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"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 Visualization and Computer Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yiming Jiang","orcid":"https://orcid.org/0009-0002-8071-2894"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiming Jiang","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China","State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, China"],"raw_orcid":"https://orcid.org/0009-0002-8071-2894","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064016745","display_name":"Wenfeng Song","orcid":"https://orcid.org/0000-0002-5101-1071"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenfeng Song","raw_affiliation_strings":["Computer School, Beijing Information Science and Technology University, Beijing, China","Computer School, Beijing Information Science and Technology University, China"],"raw_orcid":"https://orcid.org/0000-0002-5101-1071","affiliations":[{"raw_affiliation_string":"Computer School, Beijing Information Science and Technology University, Beijing, China","institution_ids":["https://openalex.org/I78675632"]},{"raw_affiliation_string":"Computer School, Beijing Information Science and Technology University, China","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100424132","display_name":"Shuai Li","orcid":"https://orcid.org/0000-0003-4182-1588"},"institutions":[{"id":"https://openalex.org/I4392738276","display_name":"State Key Laboratory of Virtual Reality Technology and Systems","ror":"https://ror.org/0009eea46","country_code":null,"type":"facility","lineage":["https://openalex.org/I4392738276","https://openalex.org/I82880672"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Li","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, and Zhongguancun Laboratory, Beijing, China","State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, and Zhongguancun Laboratory, China"],"raw_orcid":"https://orcid.org/0000-0003-4182-1588","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, and Zhongguancun Laboratory, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, and Zhongguancun Laboratory, China","institution_ids":["https://openalex.org/I4392738276","https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035153076","display_name":"Aimin Hao","orcid":"https://orcid.org/0000-0002-5774-6706"},"institutions":[{"id":"https://openalex.org/I200296433","display_name":"Chinese Academy of Medical Sciences & Peking Union Medical College","ror":"https://ror.org/02drdmm93","country_code":"CN","type":"education","lineage":["https://openalex.org/I200296433"]},{"id":"https://openalex.org/I4210122052","display_name":"Virtual Reality Medical Center","ror":"https://ror.org/02rzjbv15","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210122052"]},{"id":"https://openalex.org/I4210154792","display_name":"Virtual Technology (United States)","ror":"https://ror.org/054grzz74","country_code":"US","type":"company","lineage":["https://openalex.org/I4210154792"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Aimin Hao","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, and Research Unit of Virtual Human and Virtual Surgery (2019RU004), Chinese Academy of Medical Sciences, Beijing, China","State Key Laboratory of Virtual Reality Technology and SystemsBeihang University, and Research Unit of Virtual Human and Virtual Surgery (2019RU004), Chinese Academy of Medical Sciences"],"raw_orcid":"https://orcid.org/0000-0002-5774-6706","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, and Research Unit of Virtual Human and Virtual Surgery (2019RU004), Chinese Academy of Medical Sciences, Beijing, China","institution_ids":["https://openalex.org/I200296433","https://openalex.org/I4210154792"]},{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and SystemsBeihang University, and Research Unit of Virtual Human and Virtual Surgery (2019RU004), Chinese Academy of Medical Sciences","institution_ids":["https://openalex.org/I200296433","https://openalex.org/I4210122052","https://openalex.org/I4210154792"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19114114,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"32","issue":"2","first_page":"2152","last_page":"2164"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/solid-modeling","display_name":"Solid modeling","score":0.5116000175476074},{"id":"https://openalex.org/keywords/3d-reconstruction","display_name":"3D reconstruction","score":0.5081999897956848},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46000000834465027},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.4153999984264374},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.41429999470710754},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.41179999709129333},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4041000008583069},{"id":"https://openalex.org/keywords/surface-reconstruction","display_name":"Surface reconstruction","score":0.40369999408721924},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.39430001378059387},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.37940001487731934}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7997000217437744},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7710999846458435},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7239999771118164},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.5116000175476074},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.5081999897956848},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46000000834465027},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.4153999984264374},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.41429999470710754},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.41179999709129333},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4041000008583069},{"id":"https://openalex.org/C20885615","wikidata":"https://www.wikidata.org/wiki/Q825595","display_name":"Surface reconstruction","level":3,"score":0.40369999408721924},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.39430001378059387},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.37940001487731934},{"id":"https://openalex.org/C2187777","wikidata":"https://www.wikidata.org/wiki/Q1071743","display_name":"Parametric surface","level":3,"score":0.37040001153945923},{"id":"https://openalex.org/C181095308","wikidata":"https://www.wikidata.org/wiki/Q1541599","display_name":"Geometric primitive","level":2,"score":0.36489999294281006},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.35749998688697815},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.35510000586509705},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3517000079154968},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.3458999991416931},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.3449999988079071},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.3321000039577484},{"id":"https://openalex.org/C2776863239","wikidata":"https://www.wikidata.org/wiki/Q7936601","display_name":"Visual hull","level":3,"score":0.328000009059906},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.32429999113082886},{"id":"https://openalex.org/C150303390","wikidata":"https://www.wikidata.org/wiki/Q1983852","display_name":"Virtual actor","level":3,"score":0.3208000063896179},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3174000084400177},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.30889999866485596},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.30559998750686646},{"id":"https://openalex.org/C3019007443","wikidata":"https://www.wikidata.org/wiki/Q568742","display_name":"3d model","level":2,"score":0.29600000381469727},{"id":"https://openalex.org/C2777897806","wikidata":"https://www.wikidata.org/wiki/Q568742","display_name":"3D modeling","level":2,"score":0.29589998722076416},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.29510000348091125},{"id":"https://openalex.org/C104065381","wikidata":"https://www.wikidata.org/wiki/Q1002535","display_name":"Geometric modeling","level":2,"score":0.28760001063346863},{"id":"https://openalex.org/C42087268","wikidata":"https://www.wikidata.org/wiki/Q1886184","display_name":"Marching cubes","level":3,"score":0.2818000018596649},{"id":"https://openalex.org/C1223959","wikidata":"https://www.wikidata.org/wiki/Q1191960","display_name":"Stereo display","level":2,"score":0.262800008058548},{"id":"https://openalex.org/C2776977519","wikidata":"https://www.wikidata.org/wiki/Q4636326","display_name":"3D interaction","level":3,"score":0.25929999351501465},{"id":"https://openalex.org/C7305733","wikidata":"https://www.wikidata.org/wiki/Q207961","display_name":"Geometric shape","level":2,"score":0.25609999895095825},{"id":"https://openalex.org/C136520226","wikidata":"https://www.wikidata.org/wiki/Q302814","display_name":"Geometric data analysis","level":2,"score":0.25}],"mesh":[{"descriptor_ui":"D000076142","descriptor_name":"Virtual Reality","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000076142","descriptor_name":"Virtual Reality","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003196","descriptor_name":"Computer Graphics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003196","descriptor_name":"Computer Graphics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D064847","descriptor_name":"Multimodal Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D064847","descriptor_name":"Multimodal Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tvcg.2025.3623198","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2025.3623198","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"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 Visualization and Computer Graphics","raw_type":"journal-article"},{"id":"pmid:41115080","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41115080","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on visualization and computer graphics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1803388797","display_name":null,"funder_award_id":"L232102","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G5099333493","display_name":null,"funder_award_id":"62441201","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5934650224","display_name":null,"funder_award_id":"62272021","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6793388597","display_name":null,"funder_award_id":"62525204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8676591316","display_name":null,"funder_award_id":"62572062","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1901129140","https://openalex.org/W1967554269","https://openalex.org/W2194775991","https://openalex.org/W2760103357","https://openalex.org/W2768683308","https://openalex.org/W2921745007","https://openalex.org/W2962849139","https://openalex.org/W2962921964","https://openalex.org/W2963627347","https://openalex.org/W2963669509","https://openalex.org/W2963926543","https://openalex.org/W2971467054","https://openalex.org/W2978956737","https://openalex.org/W2981978060","https://openalex.org/W2982480216","https://openalex.org/W3035291735","https://openalex.org/W3035492592","https://openalex.org/W3041416670","https://openalex.org/W3117476483","https://openalex.org/W3128529129","https://openalex.org/W3167491448","https://openalex.org/W3174025609","https://openalex.org/W3202432020","https://openalex.org/W4200074884","https://openalex.org/W4214586860","https://openalex.org/W4226160668","https://openalex.org/W4310380667","https://openalex.org/W4312311094","https://openalex.org/W4312972648","https://openalex.org/W4313175219","https://openalex.org/W4321021433","https://openalex.org/W4321512638","https://openalex.org/W4386065695","https://openalex.org/W4386072032","https://openalex.org/W4386075516","https://openalex.org/W4386076247","https://openalex.org/W4390871676","https://openalex.org/W4390871775","https://openalex.org/W4390872959","https://openalex.org/W4390873604","https://openalex.org/W4390874155","https://openalex.org/W4391620762","https://openalex.org/W4394593122","https://openalex.org/W4399574593","https://openalex.org/W4399768460","https://openalex.org/W4400978744","https://openalex.org/W4402351075","https://openalex.org/W4402667904","https://openalex.org/W4402703090","https://openalex.org/W4402727359","https://openalex.org/W4402727492","https://openalex.org/W4402727640","https://openalex.org/W4402727791","https://openalex.org/W4402754233","https://openalex.org/W4408564952","https://openalex.org/W4415798746"],"related_works":[],"abstract_inverted_index":{"Accurately":[0],"reconstructing":[1],"high-fidelity":[2,84],"human":[3,25,85,133,188,205],"models":[4],"from":[5,21,55,87,104],"single":[6,89],"images":[7,57],"is":[8],"critical":[9],"for":[10,66,83,202],"virtual":[11],"reality":[12],"applications.":[13],"Existing":[14],"methods":[15],"often":[16,42],"rely":[17],"on":[18],"3D":[19,53,72,132,179,204],"features":[20,54,148,151],"the":[22,67,173],"estimated":[23],"parametric":[24],"model":[26,134],"to":[27,45],"provide":[28],"geometric":[29,100,116],"priors.":[30],"This":[31,62],"approach":[32,82],"addresses":[33],"challenges":[34],"such":[35],"as":[36],"missing":[37],"limbs":[38],"or":[39],"deformations,":[40],"which":[41],"arise":[43],"due":[44],"viewpoint":[46],"limitations":[47],"and":[48,71,101,115,125,156,168,178,186],"self-occlusion.":[49],"However,":[50],"accurately":[51],"predicting":[52],"monocular":[56],"remains":[58],"a":[59,80,88,113,130,140,153,158,199],"significant":[60],"challenge.":[61],"limitation":[63],"poses":[64],"difficulties":[65],"fusion":[68,143],"of":[69,175],"2D":[70,177],"information.":[73],"In":[74],"this":[75],"paper,":[76],"we":[77],"introduce":[78],"HFHuman,":[79],"novel":[81],"reconstruction":[86,118],"image":[90],"using":[91,152],"multi-modality":[92,154],"fusion.":[93],"HFHuman":[94,181,194],"effectively":[95],"fuses":[96],"multiple":[97],"modalities,":[98,180],"including":[99],"depth,":[102],"directly":[103],"images.":[105],"Our":[106],"method":[107],"introduces":[108],"three":[109],"key":[110],"innovations:":[111],"(1)":[112],"depth":[114,127,137,169],"parallel":[117],"framework":[119],"that":[120,145,161,193],"simultaneously":[121],"handles":[122],"whole-body":[123],"geometry":[124],"detailed":[126],"reconstruction,":[128],"refining":[129],"parameterized":[131],"under":[135],"progressive":[136],"guidance;":[138],"(2)":[139],"pixel-voxel":[141],"feature":[142],"strategy":[144],"combines":[146],"pixel-aligned":[147],"with":[149,165],"voxel-aligned":[150],"adaptor;":[155],"(3)":[157],"depth-refined":[159],"technique":[160],"integrates":[162],"RGB":[163],"imagery":[164],"surface":[166],"normals":[167],"mapping.":[170],"By":[171],"addressing":[172],"challenge":[174],"blending":[176],"results":[182,191],"in":[183],"more":[184],"accurate":[185],"realistic":[187,203],"reconstructions.":[189],"Experimental":[190],"demonstrate":[192],"outperforms":[195],"state-of-the-art":[196],"methods,":[197],"setting":[198],"new":[200],"standard":[201],"body":[206],"reconstruction.":[207]},"counts_by_year":[],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-21T00:00:00"}
