{"id":"https://openalex.org/W7129652561","doi":"https://doi.org/10.1109/icipw68931.2025.11386364","title":"Multi-Path Mamba Diffusion For 3D Point Cloud Semantic Scene Completion","display_name":"Multi-Path Mamba Diffusion For 3D Point Cloud Semantic Scene Completion","publication_year":2025,"publication_date":"2025-09-14","ids":{"openalex":"https://openalex.org/W7129652561","doi":"https://doi.org/10.1109/icipw68931.2025.11386364"},"language":null,"primary_location":{"id":"doi:10.1109/icipw68931.2025.11386364","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icipw68931.2025.11386364","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Image Processing Workshops (ICIPW)","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/A5012997346","display_name":"Li Liang","orcid":"https://orcid.org/0000-0002-3127-9599"},"institutions":[{"id":"https://openalex.org/I177877127","display_name":"The University of Western Australia","ror":"https://ror.org/047272k79","country_code":"AU","type":"education","lineage":["https://openalex.org/I177877127"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Li Liang","raw_affiliation_strings":["The University of Western Australia"],"affiliations":[{"raw_affiliation_string":"The University of Western Australia","institution_ids":["https://openalex.org/I177877127"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126274877","display_name":"Naveed Akhtar","orcid":null},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Naveed Akhtar","raw_affiliation_strings":["The University of Melbourne"],"affiliations":[{"raw_affiliation_string":"The University of Melbourne","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027726376","display_name":"Jordan Vice","orcid":"https://orcid.org/0000-0002-3951-1188"},"institutions":[{"id":"https://openalex.org/I177877127","display_name":"The University of Western Australia","ror":"https://ror.org/047272k79","country_code":"AU","type":"education","lineage":["https://openalex.org/I177877127"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jordan Vice","raw_affiliation_strings":["The University of Western Australia"],"affiliations":[{"raw_affiliation_string":"The University of Western Australia","institution_ids":["https://openalex.org/I177877127"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121502866","display_name":"Anwaar Ulhaq","orcid":null},"institutions":[{"id":"https://openalex.org/I74899385","display_name":"Central Queensland University","ror":"https://ror.org/023q4bk22","country_code":"AU","type":"education","lineage":["https://openalex.org/I74899385"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Anwaar Ulhaq","raw_affiliation_strings":["Central Queensland University"],"affiliations":[{"raw_affiliation_string":"Central Queensland University","institution_ids":["https://openalex.org/I74899385"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5120058266","display_name":"Ajmal Saeed Mian","orcid":null},"institutions":[{"id":"https://openalex.org/I177877127","display_name":"The University of Western Australia","ror":"https://ror.org/047272k79","country_code":"AU","type":"education","lineage":["https://openalex.org/I177877127"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ajmal Saeed Mian","raw_affiliation_strings":["The University of Western Australia"],"affiliations":[{"raw_affiliation_string":"The University of Western Australia","institution_ids":["https://openalex.org/I177877127"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5012997346"],"corresponding_institution_ids":["https://openalex.org/I177877127"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.68541223,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"339","last_page":"344"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9020000100135803,"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":0.9020000100135803,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.04769999906420708,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.008799999952316284,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.8201000094413757},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5785999894142151},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5371999740600586},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.49549999833106995},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4900999963283539},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48899999260902405},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.46720001101493835},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.45739999413490295},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.42640000581741333}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8201000094413757},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6847000122070312},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5785999894142151},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5763000249862671},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5371999740600586},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.49549999833106995},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4900999963283539},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48899999260902405},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.46720001101493835},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.45739999413490295},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.42640000581741333},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4180999994277954},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.38769999146461487},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.373199999332428},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3619000017642975},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.3208000063896179},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.31369999051094055},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.3003999888896942},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.29030001163482666},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.289000004529953},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.2782000005245209},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2770000100135803},{"id":"https://openalex.org/C2775955345","wikidata":"https://www.wikidata.org/wiki/Q7449071","display_name":"Semantic mapping","level":2,"score":0.2759999930858612},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2662999927997589},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26159998774528503},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.25839999318122864}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icipw68931.2025.11386364","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icipw68931.2025.11386364","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Image Processing Workshops (ICIPW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320315885","display_name":"Australian Government","ror":"https://ror.org/0314h5y94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2557465155","https://openalex.org/W2962914239","https://openalex.org/W2963307292","https://openalex.org/W2991216808","https://openalex.org/W3126856052","https://openalex.org/W3174692508","https://openalex.org/W3179909833","https://openalex.org/W3201467792","https://openalex.org/W4200308510","https://openalex.org/W4312933868","https://openalex.org/W4386075718","https://openalex.org/W4386076606","https://openalex.org/W4389666133","https://openalex.org/W4402772482"],"related_works":[],"abstract_inverted_index":{"3D":[0,48,103,125],"semantic":[1,23,51,128],"scene":[2,26,52,129],"completion":[3],"plays":[4],"a":[5,33,61,92,97],"critical":[6],"role":[7],"in":[8,25,86],"enabling":[9],"various":[10],"downstream":[11],"tasks":[12],"within":[13,71],"autonomous":[14],"systems":[15],"by":[16,96],"estimating":[17],"both":[18],"missing":[19],"geometric":[20],"structures":[21],"and":[22,68,107],"information":[24],"data.":[27],"In":[28],"this":[29],"work,":[30],"we":[31],"introduce":[32],"unique":[34],"neural":[35],"framework":[36],"that":[37,117],"integrates":[38],"state":[39,98],"space":[40,90,99],"modeling":[41],"with":[42],"diffusion-based":[43],"generative":[44],"approaches":[45],"to":[46,74,101],"enhance":[47],"point":[49,104,126],"cloud":[50,105,127],"completion.":[53,130],"We":[54],"propose":[55],"MPath":[56],"Mamba":[57,63],"diffusion":[58],"network,":[59],"leveraging":[60],"skip-triple":[62],"structure,":[64],"dimensional":[65],"decomposition":[66],"residuals,":[67],"multi-directional":[69],"dilations":[70],"multi-path":[72],"data":[73,78],"efficiently":[75],"process":[76],"long-sequence":[77],"for":[79,124],"feature":[80],"extraction.":[81],"The":[82],"proposed":[83],"method":[84],"operates":[85],"the":[87,113],"conditioned":[88],"latent":[89],"of":[91],"variational":[93],"autoencoder,":[94],"enhanced":[95],"mechanism":[100],"improve":[102],"representation":[106],"reconstruction.":[108],"Extensive":[109],"experiments":[110],"conducted":[111],"on":[112],"SemanticKITTI":[114],"benchmark":[115],"demonstrate":[116],"our":[118],"approach":[119],"achieves":[120],"highly":[121],"competitive":[122],"performance":[123]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-02-18T00:00:00"}
