{"id":"https://openalex.org/W7160934503","doi":"https://doi.org/10.48550/arxiv.2605.09362","title":"FrameTwin: Curve-Anchored Gaussian Alignment from Sparse Views for Adaptive Wireframe 3D Printing","display_name":"FrameTwin: Curve-Anchored Gaussian Alignment from Sparse Views for Adaptive Wireframe 3D Printing","publication_year":2026,"publication_date":"2026-05-10","ids":{"openalex":"https://openalex.org/W7160934503","doi":"https://doi.org/10.48550/arxiv.2605.09362"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.09362","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.09362","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.09362","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135936048","display_name":"Wenting Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Wenting","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135930725","display_name":"Zhuo Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Zhuo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135949506","display_name":"Kun Qian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qian, Kun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027759970","display_name":"Neelotpal Dutta","orcid":"https://orcid.org/0000-0001-9417-7306"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dutta, Neelotpal","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135927857","display_name":"Yuhu Guo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guo, Yuhu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135926677","display_name":"Yingjun Tian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tian, Yingjun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135965908","display_name":"Yeung Yam","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yam, Yeung","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5112807651","display_name":"Charlie C.L. Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Charlie C. L.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10783","display_name":"Additive Manufacturing and 3D Printing Technologies","score":0.41929998993873596,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"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/T10783","display_name":"Additive Manufacturing and 3D Printing Technologies","score":0.41929998993873596,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.23409999907016754,"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/T11737","display_name":"Advanced Materials and Mechanics","score":0.08020000159740448,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/gaussian","display_name":"Gaussian","score":0.5365999937057495},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5095999836921692},{"id":"https://openalex.org/keywords/differentiable-function","display_name":"Differentiable function","score":0.49549999833106995},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.46299999952316284},{"id":"https://openalex.org/keywords/gaussian-curvature","display_name":"Gaussian curvature","score":0.4350000023841858},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4223000109195709},{"id":"https://openalex.org/keywords/curvature","display_name":"Curvature","score":0.3896999955177307},{"id":"https://openalex.org/keywords/deformation","display_name":"Deformation (meteorology)","score":0.3792000114917755},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.3758000135421753}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6158999800682068},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.58160001039505},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5691999793052673},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5365999937057495},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5095999836921692},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.49549999833106995},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.46299999952316284},{"id":"https://openalex.org/C16140857","wikidata":"https://www.wikidata.org/wiki/Q945953","display_name":"Gaussian curvature","level":3,"score":0.4350000023841858},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4223000109195709},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.3896999955177307},{"id":"https://openalex.org/C204366326","wikidata":"https://www.wikidata.org/wiki/Q3027650","display_name":"Deformation (meteorology)","level":2,"score":0.3792000114917755},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3758000135421753},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3668999969959259},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.3625999987125397},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.33809998631477356},{"id":"https://openalex.org/C99636146","wikidata":"https://www.wikidata.org/wiki/Q35889","display_name":"Parametric equation","level":2,"score":0.3310999870300293},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.323199987411499},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.32010000944137573},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.31029999256134033},{"id":"https://openalex.org/C23903533","wikidata":"https://www.wikidata.org/wiki/Q17122739","display_name":"Reprojection error","level":3,"score":0.3003999888896942},{"id":"https://openalex.org/C7218915","wikidata":"https://www.wikidata.org/wiki/Q1054475","display_name":"Gaussian function","level":3,"score":0.2937000095844269},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.2833000123500824},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.274399995803833},{"id":"https://openalex.org/C524769229","wikidata":"https://www.wikidata.org/wiki/Q229367","display_name":"3D printing","level":2,"score":0.27219998836517334},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.26159998774528503},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.26089999079704285}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.09362","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.09362","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.09362","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.09362","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0,153],"present":[1],"FrameTwin,":[2],"a":[3,45,57,63,88,169],"curve-anchored":[4],"Gaussian":[5,38],"alignment":[6,121],"framework":[7],"that":[8,50,67,155],"uses":[9],"sparse-view":[10,35,113],"images":[11,36],"to":[12,26,41,134,149],"close":[13],"the":[14,28,69,75,82,92,109,130,136,141],"control":[15],"loop":[16],"for":[17,162],"adaptive":[18,147],"wireframe":[19,32,165],"3D":[20,171],"printing.":[21],"Our":[22],"key":[23],"idea":[24],"is":[25],"capture":[27,159],"deformation":[29,65,132,163],"of":[30,91,115],"thin":[31,116],"structures":[33],"from":[34],"using":[37,129,168],"kernels":[39],"anchored":[40],"parametric":[42,105],"curves,":[43,106],"yielding":[44],"compact":[46],"and":[47,160],"geometry-aware":[48],"encoding":[49],"explicitly":[51],"captures":[52],"strut":[53],"topology.":[54],"Driven":[55],"by":[56],"differentiable":[58],"rendering":[59],"pipeline,":[60],"FrameTwin":[61,145,156],"estimates":[62],"neural":[64],"field":[66,133],"aligns":[68],"partially":[70],"printed":[71,138],"target":[72],"model":[73],"with":[74,140],"deformed":[76],"structure":[77],"observed":[78],"during":[79],"fabrication,":[80],"where":[81],"optimized":[83],"curve-Gaussian":[84],"representation":[85],"serves":[86],"as":[87],"digital":[89],"twin":[90],"evolving":[93],"wireframe.":[94],"Unlike":[95],"general":[96],"Gaussian-splatting":[97],"approaches,":[98],"our":[99],"formulation":[100],"constrains":[101],"kernel":[102],"placement":[103],"along":[104],"substantially":[107],"reducing":[108],"ambiguity":[110],"inherent":[111],"in":[112,164],"observations":[114],"structures.":[117],"The":[118],"resultant":[119],"deformation-field":[120],"enforces":[122],"global":[123],"consistency":[124],"across":[125],"all":[126],"struts.":[127],"By":[128],"estimated":[131],"blend":[135],"distorted":[137],"geometry":[139],"remaining":[142],"unprinted":[143],"geometry,":[144],"enables":[146],"updates":[148],"future":[150],"printing":[151,172],"trajectories.":[152],"demonstrate":[154],"can":[157],"robustly":[158],"compensate":[161],"models":[166],"fabricated":[167],"robotized":[170],"system.":[173]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-05-13T00:00:00"}
