{"id":"https://openalex.org/W7125930012","doi":"https://doi.org/10.1109/smc58881.2025.11342660","title":"Asymmetric U-Net with Gaussian Splatting for Single-View 3D Reconstruction","display_name":"Asymmetric U-Net with Gaussian Splatting for Single-View 3D Reconstruction","publication_year":2025,"publication_date":"2025-10-05","ids":{"openalex":"https://openalex.org/W7125930012","doi":"https://doi.org/10.1109/smc58881.2025.11342660"},"language":null,"primary_location":{"id":"doi:10.1109/smc58881.2025.11342660","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11342660","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 Systems, Man, and Cybernetics (SMC)","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/A5124121790","display_name":"Yifan Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yifan Wang","raw_affiliation_strings":["Southwest Petroleum University,School of Computer Science and Software Engineering,Chengdu,P.R. China,610500"],"affiliations":[{"raw_affiliation_string":"Southwest Petroleum University,School of Computer Science and Software Engineering,Chengdu,P.R. China,610500","institution_ids":["https://openalex.org/I165745306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124130893","display_name":"Zhirui Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhirui Xu","raw_affiliation_strings":["Southwest Petroleum University,School of Computer Science and Software Engineering,Chengdu,P.R. China,610500"],"affiliations":[{"raw_affiliation_string":"Southwest Petroleum University,School of Computer Science and Software Engineering,Chengdu,P.R. China,610500","institution_ids":["https://openalex.org/I165745306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113864251","display_name":"Xianting Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianting Zeng","raw_affiliation_strings":["Southwest Petroleum University,School of Computer Science and Software Engineering,Chengdu,P.R. China,610500"],"affiliations":[{"raw_affiliation_string":"Southwest Petroleum University,School of Computer Science and Software Engineering,Chengdu,P.R. China,610500","institution_ids":["https://openalex.org/I165745306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101986308","display_name":"Wenjun Zhou","orcid":"https://orcid.org/0000-0001-5357-9237"},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjun Zhou","raw_affiliation_strings":["Southwest Petroleum University,School of Computer Science and Software Engineering,Chengdu,P.R. China,610500"],"affiliations":[{"raw_affiliation_string":"Southwest Petroleum University,School of Computer Science and Software Engineering,Chengdu,P.R. China,610500","institution_ids":["https://openalex.org/I165745306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062682109","display_name":"B. Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Peng","raw_affiliation_strings":["Southwest Petroleum University,School of Computer Science and Software Engineering,Chengdu,P.R. China,610500"],"affiliations":[{"raw_affiliation_string":"Southwest Petroleum University,School of Computer Science and Software Engineering,Chengdu,P.R. China,610500","institution_ids":["https://openalex.org/I165745306"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5124121790"],"corresponding_institution_ids":["https://openalex.org/I165745306"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.71759716,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5457","last_page":"5462"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.5177000164985657,"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"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.5177000164985657,"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":"3D Shape Modeling and Analysis","score":0.22220000624656677,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.07159999758005142,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/3d-reconstruction","display_name":"3D reconstruction","score":0.6111999750137329},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.5379999876022339},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4433000087738037},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.41850000619888306},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.39340001344680786},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.38499999046325684},{"id":"https://openalex.org/keywords/surface-reconstruction","display_name":"Surface reconstruction","score":0.3605000078678131}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8003000020980835},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6136999726295471},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.6111999750137329},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6018000245094299},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5379999876022339},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4433000087738037},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.41850000619888306},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.39340001344680786},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.38499999046325684},{"id":"https://openalex.org/C20885615","wikidata":"https://www.wikidata.org/wiki/Q825595","display_name":"Surface reconstruction","level":3,"score":0.3605000078678131},{"id":"https://openalex.org/C65892221","wikidata":"https://www.wikidata.org/wiki/Q1113935","display_name":"Gaussian filter","level":3,"score":0.3458999991416931},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.32330000400543213},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3149999976158142},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.313400000333786},{"id":"https://openalex.org/C3019007443","wikidata":"https://www.wikidata.org/wiki/Q568742","display_name":"3d model","level":2,"score":0.2921000123023987},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.2863999903202057},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.26190000772476196},{"id":"https://openalex.org/C2776863239","wikidata":"https://www.wikidata.org/wiki/Q7936601","display_name":"Visual hull","level":3,"score":0.2574999928474426},{"id":"https://openalex.org/C2779898584","wikidata":"https://www.wikidata.org/wiki/Q7820109","display_name":"Reconstruction algorithm","level":3,"score":0.25699999928474426}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc58881.2025.11342660","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11342660","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 Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6647970080375671,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2134120396","https://openalex.org/W2194775991","https://openalex.org/W2560722161","https://openalex.org/W2609883120","https://openalex.org/W2962816904","https://openalex.org/W2987322772","https://openalex.org/W3111114371","https://openalex.org/W3141954417","https://openalex.org/W3176368002","https://openalex.org/W3203583526","https://openalex.org/W3204789496","https://openalex.org/W3215589927","https://openalex.org/W3215769467","https://openalex.org/W4200150166","https://openalex.org/W4212886113","https://openalex.org/W4289752563","https://openalex.org/W4319300261","https://openalex.org/W4385245566","https://openalex.org/W4385318467","https://openalex.org/W4390871887","https://openalex.org/W4402715971","https://openalex.org/W4402727067","https://openalex.org/W4402727821","https://openalex.org/W4402753761","https://openalex.org/W4402753826"],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,32,81,85,105,118],"rapid":[2],"advancement":[3],"of":[4,36,84,107],"computer":[5],"vision":[6],"and":[7,24,43,99,113,131,138],"graphics,":[8],"high-quality":[9],"single-view":[10,37,67],"3D":[11,63,68,76,86],"reconstruction":[12,111,136],"has":[13],"become":[14],"increasingly":[15],"significant":[16],"in":[17,92,128],"applications":[18],"such":[19],"as":[20],"autonomous":[21],"driving,":[22],"robotics,":[23],"virtual":[25],"reality.":[26],"Traditional":[27],"methods":[28,127],"often":[29],"struggle":[30],"with":[31,62],"inherent":[33],"ill-posed":[34],"nature":[35],"reconstruction,":[38],"leading":[39],"to":[40,109],"limited":[41],"accuracy":[42,137],"reduced":[44],"detail":[45],"retention.":[46],"To":[47],"address":[48],"these":[49],"challenges,":[50],"we":[51],"introduce":[52],"an":[53,58],"innovative":[54],"framework":[55,124],"that":[56,79,122],"integrates":[57],"asymmetric":[59],"U-Net":[60],"architecture":[61],"Gaussian":[64],"splatting":[65],"for":[66],"reconstruction.":[69],"Furthermore,":[70],"our":[71,102,123],"approach":[72],"incorporates":[73],"a":[74],"novel":[75],"smoothing":[77],"filter":[78],"constrains":[80],"maximum":[82],"frequency":[83],"representation,":[87],"effectively":[88],"mitigating":[89],"high-frequency":[90],"artifacts":[91],"out-of-distribution":[93],"rendering.":[94],"By":[95],"synergistically":[96],"combining":[97],"implicit":[98],"explicit":[100],"representations,":[101],"method":[103],"leverages":[104],"strengths":[106],"both":[108],"enhance":[110],"efficiency":[112],"quality.":[114],"Experiments":[115],"conducted":[116],"on":[117],"SRN-Cars":[119],"dataset":[120],"demonstrate":[121],"outperforms":[125],"existing":[126],"quantitative":[129],"metrics":[130],"qualitative":[132],"assessments,":[133],"achieving":[134],"higher":[135],"smoother":[139],"surfaces.":[140]},"counts_by_year":[],"updated_date":"2026-01-29T23:17:01.242718","created_date":"2026-01-29T00:00:00"}
