{"id":"https://openalex.org/W2333006887","doi":"https://doi.org/10.1109/tvcg.2015.2513409","title":"Tree Modeling with Real Tree-Parts Examples","display_name":"Tree Modeling with Real Tree-Parts Examples","publication_year":2015,"publication_date":"2015-12-30","ids":{"openalex":"https://openalex.org/W2333006887","doi":"https://doi.org/10.1109/tvcg.2015.2513409","mag":"2333006887","pmid":"https://pubmed.ncbi.nlm.nih.gov/26731769"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2015.2513409","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2015.2513409","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":true,"oa_status":"green","oa_url":"https://kops.uni-konstanz.de/server/api/core/bitstreams/0ead7c1e-e0dd-4d81-9936-06439c466b1e/content","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101860508","display_name":"Ke Xie","orcid":"https://orcid.org/0000-0001-5974-5224"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Xie","raw_affiliation_strings":["Shenzhen VisuCA Key Lab/SIAT, Shenzhen, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen VisuCA Key Lab/SIAT, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I158809036"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062501106","display_name":"Feilong Yan","orcid":"https://orcid.org/0000-0003-4418-3809"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feilong Yan","raw_affiliation_strings":["Shenzhen VisuCA Key Lab/SIAT, Shenzhen, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen VisuCA Key Lab/SIAT, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I158809036"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074974298","display_name":"Andrei Sharf","orcid":"https://orcid.org/0000-0002-3963-4508"},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Andrei Sharf","raw_affiliation_strings":["Computer Science Department, Ben Gurion University, Ben-Gurion, Beer-Sheva, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Ben Gurion University, Ben-Gurion, Beer-Sheva, Israel","institution_ids":["https://openalex.org/I124227911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036489223","display_name":"Oliver Deu\u00dfen","orcid":"https://orcid.org/0000-0001-5803-2185"},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Oliver Deussen","raw_affiliation_strings":["Department of Computer and Information Science, University of Konstanz, Konstanz, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Konstanz, Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034304352","display_name":"Hui Huang","orcid":"https://orcid.org/0000-0003-3212-0544"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Huang","raw_affiliation_strings":["Shenzhen University, Shenzhen VisuCA Key Lab/SIAT, Shenzhen, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen University, Shenzhen VisuCA Key Lab/SIAT, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010714340","display_name":"Baoquan Chen","orcid":"https://orcid.org/0000-0003-4702-036X"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baoquan Chen","raw_affiliation_strings":["Computer Science Department, Shandong University, Jinan, Shandong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Shandong University, Jinan, Shandong, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.4068,"has_fulltext":true,"cited_by_count":31,"citation_normalized_percentile":{"value":0.94427051,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"22","issue":"12","first_page":"2608","last_page":"2618"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9979000091552734,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.7344518899917603},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.721299409866333},{"id":"https://openalex.org/keywords/branching","display_name":"Branching (polymer chemistry)","score":0.580445408821106},{"id":"https://openalex.org/keywords/interval-tree","display_name":"Interval tree","score":0.5135700702667236},{"id":"https://openalex.org/keywords/tree-structure","display_name":"Tree structure","score":0.5109128355979919},{"id":"https://openalex.org/keywords/segment-tree","display_name":"Segment tree","score":0.5001499652862549},{"id":"https://openalex.org/keywords/decision-tree-model","display_name":"Decision tree model","score":0.4419345259666443},{"id":"https://openalex.org/keywords/search-tree","display_name":"Search tree","score":0.43582791090011597},{"id":"https://openalex.org/keywords/weight-balanced-tree","display_name":"Weight-balanced tree","score":0.42923450469970703},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4056303799152374},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3674866259098053},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3535062372684479},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32717016339302063},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2401541769504547},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.1956968903541565},{"id":"https://openalex.org/keywords/binary-tree","display_name":"Binary tree","score":0.19145077466964722},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.1242399513721466},{"id":"https://openalex.org/keywords/search-algorithm","display_name":"Search algorithm","score":0.10446494817733765}],"concepts":[{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.7344518899917603},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.721299409866333},{"id":"https://openalex.org/C206175624","wikidata":"https://www.wikidata.org/wiki/Q595731","display_name":"Branching (polymer chemistry)","level":2,"score":0.580445408821106},{"id":"https://openalex.org/C84927040","wikidata":"https://www.wikidata.org/wiki/Q6057306","display_name":"Interval tree","level":4,"score":0.5135700702667236},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.5109128355979919},{"id":"https://openalex.org/C94557470","wikidata":"https://www.wikidata.org/wiki/Q2377385","display_name":"Segment tree","level":5,"score":0.5001499652862549},{"id":"https://openalex.org/C56289965","wikidata":"https://www.wikidata.org/wiki/Q5249246","display_name":"Decision tree model","level":3,"score":0.4419345259666443},{"id":"https://openalex.org/C207024777","wikidata":"https://www.wikidata.org/wiki/Q621673","display_name":"Search tree","level":3,"score":0.43582791090011597},{"id":"https://openalex.org/C57900377","wikidata":"https://www.wikidata.org/wiki/Q7979855","display_name":"Weight-balanced tree","level":4,"score":0.42923450469970703},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4056303799152374},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3674866259098053},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3535062372684479},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32717016339302063},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2401541769504547},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.1956968903541565},{"id":"https://openalex.org/C197855036","wikidata":"https://www.wikidata.org/wiki/Q380172","display_name":"Binary tree","level":2,"score":0.19145077466964722},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.1242399513721466},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.10446494817733765},{"id":"https://openalex.org/C91154448","wikidata":"https://www.wikidata.org/wiki/Q623818","display_name":"Binary search tree","level":3,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tvcg.2015.2513409","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2015.2513409","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:26731769","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26731769","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},{"id":"pmh:oai:kops.uni-konstanz.de:123456789/33521","is_oa":true,"landing_page_url":"http://nbn-resolving.de/urn:nbn:de:bsz:352-0-324787","pdf_url":"https://kops.uni-konstanz.de/server/api/core/bitstreams/0ead7c1e-e0dd-4d81-9936-06439c466b1e/content","source":{"id":"https://openalex.org/S4306401487","display_name":"KOPS (University of Konstanz)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I189712700","host_organization_name":"University of Konstanz","host_organization_lineage":["https://openalex.org/I189712700"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics. 2016, 22(12), S. 2608-2618. ISSN 1077-2626. eISSN 1941-0506. Verf\u00fcgbar unter: doi: 10.1109/TVCG.2015.2513409","raw_type":"doc-type:article"}],"best_oa_location":{"id":"pmh:oai:kops.uni-konstanz.de:123456789/33521","is_oa":true,"landing_page_url":"http://nbn-resolving.de/urn:nbn:de:bsz:352-0-324787","pdf_url":"https://kops.uni-konstanz.de/server/api/core/bitstreams/0ead7c1e-e0dd-4d81-9936-06439c466b1e/content","source":{"id":"https://openalex.org/S4306401487","display_name":"KOPS (University of Konstanz)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I189712700","host_organization_name":"University of Konstanz","host_organization_lineage":["https://openalex.org/I189712700"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics. 2016, 22(12), S. 2608-2618. ISSN 1077-2626. eISSN 1941-0506. Verf\u00fcgbar unter: doi: 10.1109/TVCG.2015.2513409","raw_type":"doc-type:article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production","score":0.5}],"awards":[{"id":"https://openalex.org/G1312008715","display_name":null,"funder_award_id":"2015A030312015","funder_id":"https://openalex.org/F4320335795","funder_display_name":"Science and Technology Planning Project of Guangdong Province"},{"id":"https://openalex.org/G2973564456","display_name":"\u57fa\u4e8e\u591a\u4f20\u611f\u4fe1\u606f\u7684\u5927\u5c3a\u5ea6\u573a\u666f\u9ad8\u7ef4\u5efa\u6a21\u4e0e\u8868\u8fbe","funder_award_id":"61232011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4528318108","display_name":null,"funder_award_id":"2015CB352501","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5732210082","display_name":null,"funder_award_id":"61502471","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6856404858","display_name":null,"funder_award_id":"2014TX01X033","funder_id":"https://openalex.org/F4320335795","funder_display_name":"Science and Technology Planning Project of Guangdong Province"},{"id":"https://openalex.org/G6976974635","display_name":null,"funder_award_id":"61522213","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8224254022","display_name":null,"funder_award_id":"2014B050502009","funder_id":"https://openalex.org/F4320335795","funder_display_name":"Science and Technology Planning Project of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322252","display_name":"Israel Science Foundation","ror":"https://ror.org/04sazxf24"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335795","display_name":"Science and Technology Planning Project of Guangdong Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2333006887.pdf","grobid_xml":"https://content.openalex.org/works/W2333006887.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W201479422","https://openalex.org/W1604798753","https://openalex.org/W1615924097","https://openalex.org/W1967688818","https://openalex.org/W1973950944","https://openalex.org/W1977572223","https://openalex.org/W1981940178","https://openalex.org/W1984994646","https://openalex.org/W1987610258","https://openalex.org/W1988200254","https://openalex.org/W1992642990","https://openalex.org/W1993267444","https://openalex.org/W2010403194","https://openalex.org/W2019852388","https://openalex.org/W2019927198","https://openalex.org/W2025326459","https://openalex.org/W2035199119","https://openalex.org/W2036697911","https://openalex.org/W2055678567","https://openalex.org/W2062199832","https://openalex.org/W2064012544","https://openalex.org/W2075597533","https://openalex.org/W2077678691","https://openalex.org/W2082022750","https://openalex.org/W2111699730","https://openalex.org/W2113748593","https://openalex.org/W2118752698","https://openalex.org/W2124280719","https://openalex.org/W2127431937","https://openalex.org/W2127934090","https://openalex.org/W2131440240","https://openalex.org/W2133810181","https://openalex.org/W2135844327","https://openalex.org/W2155196493","https://openalex.org/W2158132122","https://openalex.org/W2158729183","https://openalex.org/W2166051912","https://openalex.org/W2183589061","https://openalex.org/W3136970581","https://openalex.org/W3137754491","https://openalex.org/W3138084528","https://openalex.org/W3151694679","https://openalex.org/W4236309931","https://openalex.org/W4242851647","https://openalex.org/W4247361841","https://openalex.org/W4249101206","https://openalex.org/W4251110321","https://openalex.org/W6608284477","https://openalex.org/W6636070687","https://openalex.org/W6657054764","https://openalex.org/W6678720514","https://openalex.org/W6679556233","https://openalex.org/W6683256395"],"related_works":["https://openalex.org/W2359095153","https://openalex.org/W2227684440","https://openalex.org/W2084831204","https://openalex.org/W2351720606","https://openalex.org/W3128587426","https://openalex.org/W2083751087","https://openalex.org/W2280371997","https://openalex.org/W2156833871","https://openalex.org/W2061004850","https://openalex.org/W2333006887"],"abstract_inverted_index":{"We":[0,157],"introduce":[1],"a":[2,159],"3D":[3],"tree":[4,15,35,42,128],"modeling":[5,79,168],"technique":[6],"that":[7,28,94,147],"utilizes":[8],"examples":[9],"of":[10,54,98,136,145,166],"real":[11],"trees":[12,56,62,146],"to":[13,25,33,108,162],"enhance":[14],"creation":[16,97],"with":[17,44,151],"realistic":[18,40],"structures":[19],"and":[20,74,143],"fine-level":[21],"details.":[22],"In":[23,77],"contrast":[24],"previous":[26],"works":[27],"use":[29],"smooth":[30],"generalized":[31],"cylinders":[32],"represent":[34],"branches,":[36],"our":[37,125,152,167],"method":[38,153],"generates":[39],"looking":[41],"models":[43],"complex":[45],"branching":[46,75],"geometry":[47],"by":[48,119,133],"employing":[49],"an":[50,87],"exemplar":[51],"database":[52,126],"consisting":[53],"real-life":[55],"reconstructed":[57],"from":[58,124],"scanned":[59],"data.":[60],"These":[61],"are":[63,82,104],"sliced":[64],"into":[65,106],"representative":[66],"parts":[67],"(denoted":[68],"as":[69,91,130,132],"tree-cuts),":[70],"representing":[71],"trunk":[72],"logs":[73],"structures.":[76],"the":[78,96,99,141,164],"process,":[80],"tree-cuts":[81],"positioned":[83],"in":[84,86],"space":[85],"intuitive":[88],"manner,":[89],"serving":[90],"efficient":[92],"proxies":[93],"guide":[95],"complete":[100],"tree.":[101],"Allometry":[102],"rules":[103],"taken":[105],"account":[107],"ensure":[109],"reasonable":[110],"relations":[111],"between":[112],"adjacent":[113],"branches.":[114],"Realism":[115],"is":[116],"further":[117],"enhanced":[118],"automatically":[120],"transferring":[121],"geometric":[122],"textures":[123],"onto":[127],"branches":[129],"well":[131],"guided":[134],"growing":[135],"foliage.":[137],"Our":[138],"results":[139],"demonstrate":[140],"complexity":[142],"variety":[144],"can":[148],"be":[149],"generated":[150],"within":[154],"few":[155],"minutes.":[156],"carry":[158],"user":[160],"study":[161],"test":[163],"effectiveness":[165],"technique.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}