{"id":"https://openalex.org/W4402916795","doi":"https://doi.org/10.1109/icip51287.2024.10648179","title":"Fine-Detailed Neural Indoor Scene Reconstruction Using Multi-Level Importance Sampling And Multi-View Consistency","display_name":"Fine-Detailed Neural Indoor Scene Reconstruction Using Multi-Level Importance Sampling And Multi-View Consistency","publication_year":2024,"publication_date":"2024-09-27","ids":{"openalex":"https://openalex.org/W4402916795","doi":"https://doi.org/10.1109/icip51287.2024.10648179"},"language":"en","primary_location":{"id":"doi:10.1109/icip51287.2024.10648179","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip51287.2024.10648179","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2410.07597","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101626462","display_name":"Xinghui Li","orcid":"https://orcid.org/0000-0002-8471-8196"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinghui Li","raw_affiliation_strings":["Tsinghua University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024306981","display_name":"Yuchen Ji","orcid":"https://orcid.org/0009-0007-4349-2745"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuchen Ji","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics,China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111029858","display_name":"Xiansong Lai","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiansong Lai","raw_affiliation_strings":["Tsinghua University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032427595","display_name":"Wanting Zhang","orcid":"https://orcid.org/0000-0002-9377-4907"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanting Zhang","raw_affiliation_strings":["Tsinghua University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035988413","display_name":"Long Zeng","orcid":"https://orcid.org/0000-0002-3090-6319"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Zeng","raw_affiliation_strings":["Tsinghua University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3477","last_page":"3483"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9994000196456909,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9991999864578247,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6763270497322083},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5995650291442871},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5981682538986206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5356034636497498},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43251416087150574},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3829154372215271}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6763270497322083},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5995650291442871},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5981682538986206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5356034636497498},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43251416087150574},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3829154372215271},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip51287.2024.10648179","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip51287.2024.10648179","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2410.07597","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2410.07597","pdf_url":"https://arxiv.org/pdf/2410.07597","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2410.07597","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2410.07597","pdf_url":"https://arxiv.org/pdf/2410.07597","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4402916795.pdf"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W2471962767","https://openalex.org/W2594519801","https://openalex.org/W2964009301","https://openalex.org/W3014318259","https://openalex.org/W3034259269","https://openalex.org/W3107105757","https://openalex.org/W3109428934","https://openalex.org/W3172610252","https://openalex.org/W3193602888","https://openalex.org/W3199238138","https://openalex.org/W3211490618","https://openalex.org/W3213840695","https://openalex.org/W4200150166","https://openalex.org/W4233857083","https://openalex.org/W4281784082","https://openalex.org/W4287114999","https://openalex.org/W4287864845","https://openalex.org/W4297812694","https://openalex.org/W4312539440","https://openalex.org/W4313186498","https://openalex.org/W4319300179","https://openalex.org/W4322832051","https://openalex.org/W4386076107","https://openalex.org/W4386159780","https://openalex.org/W4388685237","https://openalex.org/W4390874575","https://openalex.org/W6774418182","https://openalex.org/W6784729325","https://openalex.org/W6797770180","https://openalex.org/W6798033281","https://openalex.org/W6839182500","https://openalex.org/W6850208860","https://openalex.org/W6859126345"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398","https://openalex.org/W2775347418"],"abstract_inverted_index":{"Recently,":[0],"neural":[1,56],"implicit":[2,57],"3D":[3,66],"reconstruction":[4,59,129],"in":[5,143],"indoor":[6],"scenarios":[7],"has":[8],"become":[9],"popular":[10],"due":[11,41],"to":[12,42,63,82,94],"its":[13],"simplicity":[14],"and":[15,38,45,73,87,116,122,134],"impressive":[16],"performance.":[17],"Previous":[18],"works":[19],"could":[20],"produce":[21],"complete":[22],"results":[23,136],"leveraging":[24],"monocular":[25,47],"priors":[26,81],"of":[27,130],"normal":[28,118],"or":[29],"depth.":[30],"However,":[31],"they":[32],"may":[33],"suffer":[34],"from":[35],"over-smoothed":[36],"reconstructions":[37],"long-time":[39],"optimization":[40],"unbiased":[43],"sampling":[44,71,99],"inaccurate":[46],"priors.":[48],"In":[49,109],"this":[50],"paper,":[51],"we":[52,78,111],"propose":[53],"a":[54],"novel":[55],"surface":[58],"method,":[60],"named":[61],"FD-NeuS,":[62],"learn":[64],"fine-detailed":[65],"models":[67],"using":[68],"multi-level":[69],"importance":[70],"strategy":[72],"multi-view":[74,113,117],"consistency":[75,115,119],"methodology.":[76],"Specifically,":[77],"leverage":[79],"segmentation":[80],"guide":[83],"region-based":[84],"ray":[85],"sampling,":[86],"use":[88],"piecewise":[89],"exponential":[90],"functions":[91],"as":[92,120],"weights":[93],"pilot":[95],"3":[96],"D":[97],"points":[98],"along":[100],"the":[101,128],"rays,":[102],"ensuring":[103],"more":[104],"attention":[105],"on":[106],"important":[107],"regions.":[108],"addition,":[110],"introduce":[112],"feature":[114],"supervision":[121],"uncertainty":[123],"respectively,":[124],"which":[125],"further":[126],"improve":[127],"details.":[131],"Extensive":[132],"quantitative":[133],"qualitative":[135],"show":[137],"that":[138],"FD-NeuS":[139],"outperforms":[140],"existing":[141],"methods":[142],"various":[144],"scenes.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2024-09-28T00:00:00"}