{"id":"https://openalex.org/W4392904128","doi":"https://doi.org/10.1109/icassp48485.2024.10445816","title":"REGIR: Refined Geometry for Single-Image Implicit Clothed Human Reconstruction","display_name":"REGIR: Refined Geometry for Single-Image Implicit Clothed Human Reconstruction","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392904128","doi":"https://doi.org/10.1109/icassp48485.2024.10445816"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10445816","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp48485.2024.10445816","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-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/A5044399794","display_name":"Yao Li","orcid":"https://orcid.org/0000-0002-1923-1285"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Yao","raw_affiliation_strings":["Donghua University,School of Computer Science and Technology,Shanghai,China,201620"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Donghua University,School of Computer Science and Technology,Shanghai,China,201620","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007822099","display_name":"Ao Gao","orcid":"https://orcid.org/0009-0008-9987-8441"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ao Gao","raw_affiliation_strings":["Donghua University,School of Computer Science and Technology,Shanghai,China,201620"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Donghua University,School of Computer Science and Technology,Shanghai,China,201620","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101412178","display_name":"Yan Wan","orcid":"https://orcid.org/0000-0002-7712-7531"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Wan","raw_affiliation_strings":["Donghua University,School of Computer Science and Technology,Shanghai,China,201620"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Donghua University,School of Computer Science and Technology,Shanghai,China,201620","institution_ids":["https://openalex.org/I181326427"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I181326427"],"apc_list":null,"apc_paid":null,"fwci":0.3003,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.46743084,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"33","issue":null,"first_page":"2915","last_page":"2919"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9987000226974487,"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":0.9958999752998352,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9896000027656555,"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":0.727486789226532},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5784246921539307},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.5778738856315613},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5763198137283325},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.547601580619812},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5225883722305298},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5071418285369873},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48607972264289856},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46260106563568115},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36713799834251404},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20180538296699524}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.727486789226532},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5784246921539307},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.5778738856315613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5763198137283325},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.547601580619812},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5225883722305298},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5071418285369873},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48607972264289856},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46260106563568115},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36713799834251404},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20180538296699524},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10445816","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp48485.2024.10445816","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1967554269","https://openalex.org/W2307770531","https://openalex.org/W2950689937","https://openalex.org/W2963627347","https://openalex.org/W2963800363","https://openalex.org/W2963907666","https://openalex.org/W2963926543","https://openalex.org/W2981978060","https://openalex.org/W2991621301","https://openalex.org/W3034757648","https://openalex.org/W3035003225","https://openalex.org/W3035291735","https://openalex.org/W3035492592","https://openalex.org/W3041416670","https://openalex.org/W3101022589","https://openalex.org/W3118314544","https://openalex.org/W3175408382","https://openalex.org/W3202432020","https://openalex.org/W3204956438","https://openalex.org/W3209771269","https://openalex.org/W4226160668","https://openalex.org/W4233857083","https://openalex.org/W4312445209","https://openalex.org/W4312916146","https://openalex.org/W4312972648","https://openalex.org/W6779487896"],"related_works":["https://openalex.org/W2468279273","https://openalex.org/W2354198838","https://openalex.org/W1989130879","https://openalex.org/W2103419012","https://openalex.org/W2988126442","https://openalex.org/W1974414866","https://openalex.org/W2057568687","https://openalex.org/W2063982682","https://openalex.org/W2338543196","https://openalex.org/W1544691147"],"abstract_inverted_index":{"Recently,":[0],"implicit":[1,60],"function-based":[2],"approaches":[3],"have":[4],"advanced":[5],"3D":[6],"human":[7,103],"reconstruction":[8,105,120],"from":[9,17],"a":[10,40,52,66,70,97],"single-view":[11],"image.":[12],"However,":[13],"previous":[14],"methods":[15],"suffer":[16],"issues":[18],"such":[19],"as":[20],"noisy":[21],"artifacts,":[22],"loss":[23],"of":[24,33,65],"geometric":[25,107],"details,":[26],"and":[27,69,73,79,112],"broken":[28],"limbs":[29],"under":[30],"the":[31,56,80,92],"scenarios":[32],"challenging":[34],"poses.":[35],"To":[36],"address":[37],"these":[38],"problems,":[39],"novel":[41],"end-to-end":[42],"deep":[43],"neural":[44],"network":[45,93],"named":[46],"ReGIR":[47,117],"is":[48,51,94],"proposed,":[49],"which":[50],"multi-level":[53],"architecture":[54,63],"combining":[55],"parametric":[57],"model":[58],"with":[59,106],"function.":[61],"The":[62],"consists":[64],"coarse":[67],"level":[68],"fine":[71],"level,":[72,76],"for":[74],"each":[75],"normal":[77],"maps":[78],"signed":[81],"distance":[82],"function":[83],"(SDF)":[84],"are":[85],"introduced":[86],"to":[87,100],"encode":[88],"query":[89],"points.":[90],"Furthermore,":[91],"trained":[95],"in":[96],"coarse-to-fine":[98],"manner":[99],"enable":[101],"robust":[102],"body":[104],"details.":[108],"Our":[109],"extensive":[110],"qualitative":[111],"quantitative":[113],"experiments":[114],"demonstrate":[115],"that":[116],"achieves":[118],"competitive":[119],"results.":[121]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}
