{"id":"https://openalex.org/W4410770382","doi":"https://doi.org/10.1109/cacml64929.2025.11010972","title":"IgnisGrowth: A Novel Combustion-Growth Inspired Method for Point Cloud Completion","display_name":"IgnisGrowth: A Novel Combustion-Growth Inspired Method for Point Cloud Completion","publication_year":2025,"publication_date":"2025-03-28","ids":{"openalex":"https://openalex.org/W4410770382","doi":"https://doi.org/10.1109/cacml64929.2025.11010972"},"language":"en","primary_location":{"id":"doi:10.1109/cacml64929.2025.11010972","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cacml64929.2025.11010972","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 4th Asia Conference on Algorithms, Computing and Machine Learning (CACML)","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":null,"display_name":"LiYi Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"LiYi Liu","raw_affiliation_strings":["Central China Normal University,Department of Artificial Intelligence in Education,Wuhan"],"affiliations":[{"raw_affiliation_string":"Central China Normal University,Department of Artificial Intelligence in Education,Wuhan","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059797101","display_name":"Lu Niu","orcid":"https://orcid.org/0000-0001-6945-4412"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Niu","raw_affiliation_strings":["Central China Normal University,Department of Artificial Intelligence in Education,Wuhan"],"affiliations":[{"raw_affiliation_string":"Central China Normal University,Department of Artificial Intelligence in Education,Wuhan","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101942209","display_name":"Yue Wang","orcid":"https://orcid.org/0000-0002-5320-8994"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Wang","raw_affiliation_strings":["Central China Normal University,Department of Artificial Intelligence in Education,Wuhan"],"affiliations":[{"raw_affiliation_string":"Central China Normal University,Department of Artificial Intelligence in Education,Wuhan","institution_ids":["https://openalex.org/I40963666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I40963666"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10379061,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9954000115394592,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9954000115394592,"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"}},{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9873999953269958,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9828000068664551,"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/completion","display_name":"Completion (oil and gas wells)","score":0.6745548248291016},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6558555960655212},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5877753496170044},{"id":"https://openalex.org/keywords/combustion","display_name":"Combustion","score":0.5814428329467773},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.5601814389228821},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.46318718791007996},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3109750747680664},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11480650305747986},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.10945731401443481},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10935044288635254},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.09225985407829285},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07051682472229004},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.05677080154418945}],"concepts":[{"id":"https://openalex.org/C2779538338","wikidata":"https://www.wikidata.org/wiki/Q2990590","display_name":"Completion (oil and gas wells)","level":2,"score":0.6745548248291016},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6558555960655212},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5877753496170044},{"id":"https://openalex.org/C105923489","wikidata":"https://www.wikidata.org/wiki/Q133235","display_name":"Combustion","level":2,"score":0.5814428329467773},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.5601814389228821},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.46318718791007996},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3109750747680664},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11480650305747986},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.10945731401443481},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10935044288635254},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.09225985407829285},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07051682472229004},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.05677080154418945},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cacml64929.2025.11010972","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cacml64929.2025.11010972","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 4th Asia Conference on Algorithms, Computing and Machine Learning (CACML)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W2468127422","https://openalex.org/W2524140598","https://openalex.org/W2592453093","https://openalex.org/W2796426482","https://openalex.org/W2886499109","https://openalex.org/W2889895098","https://openalex.org/W2953668091","https://openalex.org/W3011859018","https://openalex.org/W3034584726","https://openalex.org/W3108012830","https://openalex.org/W3109518641","https://openalex.org/W3117805350","https://openalex.org/W3127918072","https://openalex.org/W3133526395","https://openalex.org/W3135725160","https://openalex.org/W3177015573","https://openalex.org/W3183963759","https://openalex.org/W3191573718","https://openalex.org/W3203898101","https://openalex.org/W4205903577","https://openalex.org/W4213254875","https://openalex.org/W4214505563","https://openalex.org/W4220890232","https://openalex.org/W4221161764","https://openalex.org/W4283377170","https://openalex.org/W4289176430","https://openalex.org/W4297491452","https://openalex.org/W4297998143","https://openalex.org/W4312704718","https://openalex.org/W4313183789","https://openalex.org/W4379881908","https://openalex.org/W4385245566","https://openalex.org/W4386075718","https://openalex.org/W4386416071","https://openalex.org/W4388296400","https://openalex.org/W4390872924","https://openalex.org/W4392941124","https://openalex.org/W4393305326","https://openalex.org/W4396852831","https://openalex.org/W6739778489","https://openalex.org/W6763422710"],"related_works":["https://openalex.org/W2360737145","https://openalex.org/W4245777471","https://openalex.org/W4233733659","https://openalex.org/W4233380927","https://openalex.org/W4234733573","https://openalex.org/W2362077387","https://openalex.org/W3192151491","https://openalex.org/W4377233624","https://openalex.org/W2351014346","https://openalex.org/W2984035579"],"abstract_inverted_index":{"Point":[0],"cloud":[1,10],"completion":[2],"is":[3,81],"a":[4,21,29,35],"key":[5],"task":[6],"in":[7],"3D":[8,22],"point":[9,41],"processing,":[11],"addressing":[12],"the":[13,17,40,57],"challenge":[14],"of":[15,20,39],"reconstructing":[16],"full":[18],"shape":[19],"object":[23],"from":[24,51],"incomplete":[25],"data.":[26],"We":[27],"propose":[28],"novel":[30],"method,":[31],"IgnisGrowth,":[32],"which":[33],"simulates":[34],"gradual":[36],"\"growth\"":[37],"process":[38],"cloud.":[42],"Inspired":[43],"by":[44],"natural":[45],"growth":[46],"mechanisms,":[47],"our":[48],"method":[49],"starts":[50],"local":[52,61],"regions":[53],"and":[54,63],"expands":[55],"to":[56],"global":[58,65],"structure,":[59],"recovering":[60],"details":[62],"ensuring":[64],"consistency.":[66],"Extensive":[67],"experiments":[68],"show":[69],"that":[70],"IgnisGrowth":[71],"outperforms":[72],"existing":[73],"methods":[74],"on":[75],"widely":[76],"used":[77],"benchmarks.":[78],"The":[79],"code":[80],"available":[82],"at":[83],"https://github.com/yizilaohan/IgnisGrowth.":[84]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
