{"id":"https://openalex.org/W4414747820","doi":"https://doi.org/10.1109/wacv61042.2026.00084","title":"SCORP: Scene-Consistent Object Refinement via Proxy Generation and Tuning","display_name":"SCORP: Scene-Consistent Object Refinement via Proxy Generation and Tuning","publication_year":2026,"publication_date":"2026-03-06","ids":{"openalex":"https://openalex.org/W4414747820","doi":"https://doi.org/10.1109/wacv61042.2026.00084"},"language":"en","primary_location":{"id":"doi:10.1109/wacv61042.2026.00084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00084","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2506.23835","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016803206","display_name":"Ziwei Chen","orcid":"https://orcid.org/0009-0006-3548-3323"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziwei Chen","raw_affiliation_strings":["Southern University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101854355","display_name":"Ziling Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziling Liu","raw_affiliation_strings":["Southern University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102184298","display_name":"Zitong Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zitong Huang","raw_affiliation_strings":["Southern University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048649183","display_name":"Mingqi Gao","orcid":"https://orcid.org/0000-0002-8688-8228"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingqi Gao","raw_affiliation_strings":["Southern University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101952655","display_name":"Feng Zheng","orcid":"https://orcid.org/0000-0002-0640-4909"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Zheng","raw_affiliation_strings":["Southern University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology","institution_ids":["https://openalex.org/I3045169105"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I3045169105"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00721238,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"795","last_page":"805"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9847000241279602,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9847000241279602,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9729999899864197,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9613999724388123,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5695000290870667},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5472000241279602},{"id":"https://openalex.org/keywords/proxy","display_name":"Proxy (statistics)","score":0.5314000248908997},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5246999859809875},{"id":"https://openalex.org/keywords/view-synthesis","display_name":"View synthesis","score":0.4390000104904175},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.36390000581741333}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6973999738693237},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6003999710083008},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5695000290870667},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5550000071525574},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5472000241279602},{"id":"https://openalex.org/C2780148112","wikidata":"https://www.wikidata.org/wiki/Q1432581","display_name":"Proxy (statistics)","level":2,"score":0.5314000248908997},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5246999859809875},{"id":"https://openalex.org/C2776449333","wikidata":"https://www.wikidata.org/wiki/Q7928781","display_name":"View synthesis","level":3,"score":0.4390000104904175},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.36390000581741333},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.33559998869895935},{"id":"https://openalex.org/C50494287","wikidata":"https://www.wikidata.org/wiki/Q658467","display_name":"Texture synthesis","level":5,"score":0.33090001344680786},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.2874000072479248},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.27379998564720154},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.26109999418258667}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/wacv61042.2026.00084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00084","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2506.23835","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2506.23835","pdf_url":"https://arxiv.org/pdf/2506.23835","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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"},{"id":"doi:10.48550/arxiv.2506.23835","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2506.23835","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2506.23835","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2506.23835","pdf_url":"https://arxiv.org/pdf/2506.23835","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Viewpoint":[0],"missing":[1,83],"of":[2,136],"objects":[3,92],"is":[4,41,174],"common":[5],"in":[6,113,140,146],"scene":[7,17],"reconstruction,":[8],"as":[9],"camera":[10],"paths":[11],"typically":[12],"prioritize":[13],"capturing":[14],"the":[15,131,137],"overall":[16],"structure":[18],"rather":[19],"than":[20],"individual":[21],"objects.":[22],"This":[23,126],"makes":[24],"it":[25],"highly":[26],"challenging":[27,154],"to":[28,75,109],"achieve":[29],"high-fidelity":[30,48,132],"object-level":[31],"modeling":[32],"while":[33,143],"maintaining":[34,144],"accurate":[35],"scene-level":[36],"representation.":[37],"Addressing":[38],"this":[39,52],"issue":[40],"critical":[42],"for":[43],"advancing":[44],"downstream":[45],"tasks":[46],"requiring":[47],"object":[49,78,139],"reconstruction.":[50],"In":[51],"paper,":[53],"we":[54],"introduce":[55],"Scene-Consistent":[56],"Object":[57],"Refinement":[58],"via":[59],"Proxy":[60],"Generation":[61],"and":[62,80,103,120,134,151,169],"Tuning":[63],"(SCORP),":[64],"a":[65,94],"novel":[66,166],"3D":[67,72,95],"enhancement":[68],"framework":[69],"that":[70],"leverages":[71],"generative":[73],"priors":[74],"recover":[76],"fine-grained":[77],"geometry":[79,102,133,170],"appearance":[81,121,135],"under":[82],"views.":[84],"Starting":[85],"with":[86],"proxy":[87,108,128],"generation":[88,96],"by":[89,105,117],"substituting":[90],"degraded":[91,111],"using":[93],"model,":[97],"SCORP":[98,156,173],"then":[99],"progressively":[100],"refines":[101],"texture":[104],"aligning":[106],"each":[107],"its":[110],"counter-part":[112],"7-DoF":[114],"pose,":[115],"followed":[116],"correcting":[118],"spatial":[119,147],"inconsistencies":[122],"through":[123],"registration-constrained":[124],"enhancement.":[125],"two-stage":[127],"tuning":[129],"ensures":[130],"original":[138],"unseen":[141],"views":[142],"consistency":[145],"positioning,":[148],"observed":[149],"geometry,":[150],"appearance.":[152],"Across":[153],"benchmarks,":[155],"achieves":[157],"consistent":[158],"gains":[159],"over":[160],"recent":[161],"state-of-the-art":[162],"baselines":[163],"on":[164],"both":[165],"view":[167],"synthesis":[168],"completion":[171],"tasks.":[172],"available":[175],"at":[176],"https://github.com/PolySummit/SCORP.":[177]},"counts_by_year":[],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-10T00:00:00"}
