{"id":"https://openalex.org/W4308233777","doi":"https://doi.org/10.1109/icip46576.2022.9897709","title":"IMC-NET: Learning Implicit Field with Corner Attention Network for 3D Shape Reconstruction","display_name":"IMC-NET: Learning Implicit Field with Corner Attention Network for 3D Shape Reconstruction","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4308233777","doi":"https://doi.org/10.1109/icip46576.2022.9897709"},"language":"en","primary_location":{"id":"doi:10.1109/icip46576.2022.9897709","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897709","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","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/A5108751128","display_name":"Jiongchao Jin","orcid":null},"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":true,"raw_author_name":"Jiongchao Jin","raw_affiliation_strings":["Beihang University","Beijing GlacierAI Technology Co., LTD"],"affiliations":[{"raw_affiliation_string":"Beihang University","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Beijing GlacierAI Technology Co., LTD","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017974733","display_name":"Huanqiang Xu","orcid":null},"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":"Huanqiang Xu","raw_affiliation_strings":["Beihang University"],"affiliations":[{"raw_affiliation_string":"Beihang University","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031417957","display_name":"Pengliang Ji","orcid":null},"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":"Pengliang Ji","raw_affiliation_strings":["Beihang University"],"affiliations":[{"raw_affiliation_string":"Beihang University","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074480499","display_name":"Biao Leng","orcid":"https://orcid.org/0000-0003-3588-5622"},"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":"Biao Leng","raw_affiliation_strings":["Beihang University"],"affiliations":[{"raw_affiliation_string":"Beihang University","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5108751128"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":2.4747,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.94150613,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1591","last_page":"1595"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998000264167786,"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":0.9998000264167786,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T11984","display_name":"Anatomy and Medical Technology","score":0.9879000186920166,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.6878898739814758},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6823951601982117},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6089956164360046},{"id":"https://openalex.org/keywords/active-shape-model","display_name":"Active shape model","score":0.46643757820129395},{"id":"https://openalex.org/keywords/shape-analysis","display_name":"Shape analysis (program analysis)","score":0.4610874056816101},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45020806789398193},{"id":"https://openalex.org/keywords/polygon-mesh","display_name":"Polygon mesh","score":0.44606274366378784},{"id":"https://openalex.org/keywords/shape-optimization","display_name":"Shape optimization","score":0.42149531841278076},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.4211216866970062},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.3912941813468933},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33384692668914795},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.23671886324882507},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1726636290550232},{"id":"https://openalex.org/keywords/finite-element-method","display_name":"Finite element method","score":0.16046419739723206},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.12446293234825134},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08630618453025818},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.07301294803619385}],"concepts":[{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.6878898739814758},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6823951601982117},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6089956164360046},{"id":"https://openalex.org/C129641003","wikidata":"https://www.wikidata.org/wiki/Q267189","display_name":"Active shape model","level":3,"score":0.46643757820129395},{"id":"https://openalex.org/C112604564","wikidata":"https://www.wikidata.org/wiki/Q7489226","display_name":"Shape analysis (program analysis)","level":3,"score":0.4610874056816101},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45020806789398193},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.44606274366378784},{"id":"https://openalex.org/C29513896","wikidata":"https://www.wikidata.org/wiki/Q7489239","display_name":"Shape optimization","level":3,"score":0.42149531841278076},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.4211216866970062},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.3912941813468933},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33384692668914795},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.23671886324882507},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1726636290550232},{"id":"https://openalex.org/C135628077","wikidata":"https://www.wikidata.org/wiki/Q220184","display_name":"Finite element method","level":2,"score":0.16046419739723206},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.12446293234825134},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08630618453025818},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.07301294803619385},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.0},{"id":"https://openalex.org/C97686452","wikidata":"https://www.wikidata.org/wiki/Q7604153","display_name":"Static analysis","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip46576.2022.9897709","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897709","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1983364832","https://openalex.org/W2069295011","https://openalex.org/W2171330332","https://openalex.org/W2229412420","https://openalex.org/W2342277278","https://openalex.org/W2395611524","https://openalex.org/W2606840594","https://openalex.org/W2962849139","https://openalex.org/W2963627347","https://openalex.org/W2963926543","https://openalex.org/W2981978060","https://openalex.org/W3035163517","https://openalex.org/W3159901789","https://openalex.org/W3173520164","https://openalex.org/W4394671432","https://openalex.org/W6687484953","https://openalex.org/W6763236253"],"related_works":["https://openalex.org/W3080115630","https://openalex.org/W1834774708","https://openalex.org/W1180867177","https://openalex.org/W3172620029","https://openalex.org/W1982241259","https://openalex.org/W1990586323","https://openalex.org/W2532906573","https://openalex.org/W2212089300","https://openalex.org/W3145560090","https://openalex.org/W1998358089"],"abstract_inverted_index":{"Learning":[0],"implicit":[1,105],"field":[2,54],"as":[3],"shape":[4,11,85,102,117],"representation":[5],"brings":[6],"a":[7,75,108,126],"revolution":[8],"in":[9,139],"3D":[10,65,84,88,137],"single":[12],"view":[13],"reconstruction,":[14],"while":[15],"it":[16],"suffers":[17],"from":[18],"over-smoothness":[19],"of":[20,40,45,64,83],"corners":[21,30,63,82,103,121],"and":[22,31,42,62,104,122,149],"details.":[23,32],"Many":[24],"involve":[25],"2D":[26,69],"supervision":[27],"to":[28,59,79,98,114],"solve":[29],"However,":[33],"they":[34],"are":[35],"limited":[36],"by":[37],"the":[38,43,46,101],"number":[39],"views":[41],"accuracy":[44],"renderer.":[47],"Thus,":[48],"we":[49,73,124,147],"propose":[50],"IMC-NET,":[51,72],"an":[52,93],"IMplicit":[53],"with":[55,142],"Corner":[56],"attention":[57,77],"NETwork,":[58],"reconstruct":[60],"details":[61],"shapes":[66,138],"without":[67],"any":[68],"supervision.":[70,91],"In":[71,112],"designed":[74],"corner":[76,89,109,144],"branch":[78],"predict":[80],"detailed":[81,143],"under":[86],"hand-crafted":[87],"points":[90],"Then,":[92],"aggregation":[94],"module":[95],"was":[96],"presented":[97],"differentiably":[99],"merge":[100],"fields":[106],"using":[107],"weight":[110],"prediction.":[111],"addition,":[113],"help":[115],"further":[116],"reconstruction":[118],"work":[119],"on":[120,130,154,161],"details,":[123],"released":[125],"new":[127],"dataset":[128],"based":[129],"Shapenet":[131],"models,":[132],"named":[133],"Shape-CornerNet,":[134],"including":[135],"43784":[136],"13":[140],"categories":[141],"points.":[145],"Afterward,":[146],"quantitatively":[148],"qualitatively":[150],"evaluated":[151],"our":[152],"model":[153],"Shape-CornerNet.":[155,162],"Our":[156],"IMC-NET":[157],"achieved":[158],"state-of-the-art":[159],"performance":[160]},"counts_by_year":[{"year":2024,"cited_by_count":12}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
