乐胖代购免代理版

{"id":"https://openalex.org/W4376223886","doi":"https://doi.org/10.1109/tvcg.2023.3275200","title":"PlanNet: A Generative Model for Component-Based Plan Synthesis","display_name":"PlanNet: A Generative Model for Component-Based Plan Synthesis","publication_year":2023,"publication_date":"2023-05-11","ids":{"openalex":"https://openalex.org/W4376223886","doi":"https://doi.org/10.1109/tvcg.2023.3275200","pmid":"https://pubmed.ncbi.nlm.nih.gov/37167051"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2023.3275200","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":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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":"https://openalex.org/A5102908728","display_name":"Qiang Fu","orcid":"https://orcid.org/0000-0002-8944-8981"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Fu","raw_affiliation_strings":["School of Digital Media and Design Arts, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Digital Media and Design Arts, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075867637","display_name":"Shuhan He","orcid":"https://orcid.org/0009-0008-7957-5291"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuhan He","raw_affiliation_strings":["School of Digital Media and Design Arts, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Digital Media and Design Arts, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029828175","display_name":"Xueming Li","orcid":"https://orcid.org/0000-0003-1058-2799"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueming Li","raw_affiliation_strings":["School of Digital Media and Design Arts, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Digital Media and Design Arts, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100616579","display_name":"Hongbo Fu","orcid":"https://orcid.org/0000-0002-0284-726X"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hongbo Fu","raw_affiliation_strings":["School of Creative Media, City University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"School of Creative Media, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.192,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.800276,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":69,"max":80},"biblio":{"volume":"30","issue":"8","first_page":"4739","last_page":"4751"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9969,"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"}},"topics":[{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9969,"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/T14339","display_name":"Automated Reconstruction of Fragmented Objects","score":0.9962,"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/T10719","display_name":"Analysis of Three-Dimensional Shape Structures","score":0.9956,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.72446513},{"id":"https://openalex.org/keywords/volume-rendering","display_name":"Volume Rendering","score":0.539299},{"id":"https://openalex.org/keywords/image-matching","display_name":"Image Matching","score":0.506261},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering","score":0.505998},{"id":"https://openalex.org/keywords/simulations","display_name":"Simulations","score":0.505666},{"id":"https://openalex.org/keywords/texture-mapping","display_name":"Texture Mapping","score":0.501364},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.5003257}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7825407},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.72446513},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.68628836},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.5907036},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5889388},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5408938},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5003257},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.49646956},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4530182},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4339248},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34712678},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3444118},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33056659},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.16150159},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10354826},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2023.3275200","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":null,"is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37167051","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":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.74,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61902032"}],"datasets":[],"versions":[],"referenced_works_count":42,"referenced_works":["https://openalex.org/W1130624036","https://openalex.org/W1901129140","https://openalex.org/W1967720527","https://openalex.org/W1975418237","https://openalex.org/W1981835595","https://openalex.org/W1981934656","https://openalex.org/W2015466769","https://openalex.org/W2035033474","https://openalex.org/W2038728278","https://openalex.org/W2046643606","https://openalex.org/W2053430767","https://openalex.org/W2058387381","https://openalex.org/W2068337491","https://openalex.org/W2073549223","https://openalex.org/W2077678691","https://openalex.org/W2116480642","https://openalex.org/W2162559028","https://openalex.org/W2234350292","https://openalex.org/W2469171054","https://openalex.org/W2770875015","https://openalex.org/W2806060390","https://openalex.org/W2810181048","https://openalex.org/W2960202457","https://openalex.org/W2963601843","https://openalex.org/W2986336497","https://openalex.org/W2999925626","https://openalex.org/W3014367186","https://openalex.org/W3033926673","https://openalex.org/W3038459415","https://openalex.org/W3099345087","https://openalex.org/W3104298038","https://openalex.org/W3107547765","https://openalex.org/W3118359836","https://openalex.org/W3138514142","https://openalex.org/W3138558418","https://openalex.org/W3139355527","https://openalex.org/W3167290312","https://openalex.org/W3198365737","https://openalex.org/W3205656647","https://openalex.org/W4214755412","https://openalex.org/W4286611064","https://openalex.org/W4322731392"],"related_works":["https://openalex.org/W4395044357","https://openalex.org/W4387506531","https://openalex.org/W4380551139","https://openalex.org/W4365211920","https://openalex.org/W4317695495","https://openalex.org/W4299831724","https://openalex.org/W4287117424","https://openalex.org/W3014948380","https://openalex.org/W2967848559","https://openalex.org/W2087346071"],"abstract_inverted_index":{"We":[0,215],"propose":[1],"a":[2,22,73,105,144],"novel":[3],"generative":[4,180,236],"model":[5,17],"named":[6],"as":[7,32],"PlanNet":[10,70],"for":[11,60,136],"component-based":[12,75],"plan":[13,76,90,107,129,157,190,195,210,224],"synthesis.":[14],"The":[15],"proposed":[16,235],"consists":[18],"of":[19,36,123,155,178,189,233],"three":[20],"modules,":[21],"wave":[23],"function":[24],"collapse":[25],"algorithm":[26,147],"to":[27,44,71,95,109,126,148,227],"create":[28],"large-scale":[29,74],"wireframe":[30],"patterns":[31],"the":[33,46,56,61,96,101,110,124,128,150,156,162,166,174,187,209,221,229,234],"embryonic":[34],"forms":[35],"floor":[37,223],"plans,":[38],"and":[39,53,98,176,192,200,204,231],"two":[40],"deep":[41],"neural":[42],"networks":[43],"outline":[45],"plausible":[47],"boundary":[48,202],"from":[49,104,113],"each":[50],"squared":[51],"pattern,":[52],"meanwhile":[54],"estimate":[55],"potential":[57],"semantic":[58,153],"labels":[59,154],"components.":[62],"In":[63],"this":[64],"manner,":[65],"we":[66,182],"use":[67],"generate":[72],"dataset":[77,89],"with":[78,92,197,208,220],"10":[79],"K":[80],"examples.":[81],"Given":[82],"an":[83],"input":[84],"boundary,":[85],"our":[86,114,140,179,218],"method":[87,141],"retrieves":[88],"examples":[91,191],"similar":[93],"configurations":[94],"input,":[97],"then":[99],"transfers":[100],"space":[102],"layout":[103],"user-selected":[106],"example":[108],"input.":[111],"Benefiting":[112],"interactive":[115],"workflow,":[116],"users":[117],"can":[118],"recursively":[119],"subdivide":[120],"individual":[121],"components":[122],"plans":[125,135,168],"enrich":[127],"contents,":[130],"thus":[131],"designing":[132],"more":[133],"complex":[134],"larger":[137],"scenes.":[138],"Moreover,":[139],"also":[142,216],"adopts":[143],"random":[145],"selection":[146],"make":[149],"variations":[151],"on":[152,212],"components,":[158],"aiming":[159],"at":[160],"enriching":[161],"3D":[163,205],"scenes":[164,206],"that":[165],"output":[167],"are":[169],"suited":[170],"for.":[171],"To":[172],"demonstrate":[173],"quality":[175],"versatility":[177],"model,":[181],"conduct":[183],"intensive":[184],"experiments,":[185],"including":[186],"analysis":[188],"their":[193],"evaluations,":[194],"synthesis":[196,225],"both":[198],"hard":[199],"soft":[201],"constraints,":[203],"designed":[207],"subdivision":[211],"different":[213],"scales.":[214],"compare":[217],"results":[219],"state-of-the-art":[222],"methods":[226],"validate":[228],"feasibility":[230],"efficacy":[232],"model.":[237]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4376223886","counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2024-11-26T08:34:11.178517","created_date":"2023-05-13"}