{"id":"https://openalex.org/W4225919492","doi":"https://doi.org/10.2312/vmv.20231224","title":"N-SfC: Robust and Fast Shape Estimation from Caustic Images","display_name":"N-SfC: Robust and Fast Shape Estimation from Caustic Images","publication_year":2021,"publication_date":"2021-12-13","ids":{"openalex":"https://openalex.org/W4225919492","doi":"https://doi.org/10.2312/vmv.20231224"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2112.06705","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2112.06705","pdf_url":"https://arxiv.org/pdf/2112.06705","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":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2112.06705","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045537016","display_name":"Marc Kassubeck","orcid":"https://orcid.org/0000-0001-9520-875X"},"institutions":[{"id":"https://openalex.org/I94509681","display_name":"Technische Universit\u00e4t Braunschweig","ror":"https://ror.org/010nsgg66","country_code":"DE","type":"education","lineage":["https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Kassubeck, Marc","raw_affiliation_strings":["TU Braunschweig"],"affiliations":[{"raw_affiliation_string":"TU Braunschweig","institution_ids":["https://openalex.org/I94509681"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025229107","display_name":"Moritz Kappel","orcid":"https://orcid.org/0000-0001-9507-5141"},"institutions":[{"id":"https://openalex.org/I94509681","display_name":"Technische Universit\u00e4t Braunschweig","ror":"https://ror.org/010nsgg66","country_code":"DE","type":"education","lineage":["https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Kappel, Moritz","raw_affiliation_strings":["TU Braunschweig"],"affiliations":[{"raw_affiliation_string":"TU Braunschweig","institution_ids":["https://openalex.org/I94509681"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070578504","display_name":"Susana Castillo","orcid":"https://orcid.org/0000-0003-1245-4758"},"institutions":[{"id":"https://openalex.org/I94509681","display_name":"Technische Universit\u00e4t Braunschweig","ror":"https://ror.org/010nsgg66","country_code":"DE","type":"education","lineage":["https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Castillo, Susana","raw_affiliation_strings":["TU Braunschweig, Germany"],"affiliations":[{"raw_affiliation_string":"TU Braunschweig, Germany","institution_ids":["https://openalex.org/I94509681"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000099153","display_name":"Marcus Magnor","orcid":"https://orcid.org/0000-0003-0579-480X"},"institutions":[{"id":"https://openalex.org/I94509681","display_name":"Technische Universit\u00e4t Braunschweig","ror":"https://ror.org/010nsgg66","country_code":"DE","type":"education","lineage":["https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Magnor, Marcus","raw_affiliation_strings":["TU Braunschweig, Germany"],"affiliations":[{"raw_affiliation_string":"TU Braunschweig, Germany","institution_ids":["https://openalex.org/I94509681"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5045537016"],"corresponding_institution_ids":["https://openalex.org/I94509681"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.41426087,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9937999844551086,"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"}},"topics":[{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9937999844551086,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9932000041007996,"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":0.9929999709129333,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/caustic","display_name":"Caustic (mathematics)","score":0.8348640203475952},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6318270564079285},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6145756244659424},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.48384109139442444},{"id":"https://openalex.org/keywords/differentiable-function","display_name":"Differentiable function","score":0.47647616267204285},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4402262568473816},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43282178044319153},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4178183972835541},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41098782420158386},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3523833155632019},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18007904291152954},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.15155029296875}],"concepts":[{"id":"https://openalex.org/C2779567845","wikidata":"https://www.wikidata.org/wiki/Q3492725","display_name":"Caustic (mathematics)","level":2,"score":0.8348640203475952},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6318270564079285},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6145756244659424},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.48384109139442444},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.47647616267204285},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4402262568473816},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43282178044319153},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4178183972835541},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41098782420158386},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3523833155632019},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18007904291152954},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.15155029296875},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:arXiv.org:2112.06705","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2112.06705","pdf_url":"https://arxiv.org/pdf/2112.06705","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":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2112.06705","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2112.06705","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"doi:10.2312/vmv.20231224","is_oa":true,"landing_page_url":"https://doi.org/10.2312/vmv.20231224","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":""}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2112.06705","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2112.06705","pdf_url":"https://arxiv.org/pdf/2112.06705","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":"","raw_type":"text"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6299999952316284,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1230437","https://openalex.org/W1404390","https://openalex.org/W642410","https://openalex.org/W16707284","https://openalex.org/W6051369","https://openalex.org/W11185966","https://openalex.org/W5460926","https://openalex.org/W13168733","https://openalex.org/W5259128","https://openalex.org/W16979077"],"abstract_inverted_index":{"This":[0],"paper":[1],"deals":[2],"with":[3,91],"the":[4,10,26,53,56,66,78,89,116,124,128,151,158,171],"highly":[5],"challenging":[6],"problem":[7,54],"of":[8,12,20,28,36,42,58,65,81,127,153,160,176],"reconstructing":[9],"shape":[11,38],"a":[13,17,40,59,74,108,119],"refracting":[14,30,85],"object":[15],"from":[16,48,105],"single":[18],"image":[19],"its":[21],"resulting":[22],"caustic.":[23],"Due":[24],"to":[25,93],"ubiquity":[27],"transparent":[29],"objects":[31],"in":[32,157,163,174],"everyday":[33],"life,":[34],"reconstruction":[35,94,117],"their":[37],"entails":[39],"multitude":[41],"practical":[43],"applications.":[44],"The":[45],"recent":[46],"Shape":[47],"Caustics":[49,106],"(SfC)":[50],"method":[51],"casts":[52],"as":[55],"inverse":[57],"light":[60,82,129],"propagation":[61],"simulation":[62],"for":[63],"synthesis":[64],"caustic":[67],"image,":[68],"that":[69,111],"can":[70],"be":[71],"solved":[72],"by":[73],"differentiable":[75],"renderer.":[76],"However,":[77],"inherent":[79],"complexity":[80],"transport":[83,130],"through":[84],"surfaces":[86],"currently":[87],"limits":[88],"practicability":[90],"respect":[92],"speed":[95,178],"and":[96,132,179],"robustness.":[97],"To":[98],"address":[99],"these":[100],"issues,":[101],"we":[102,168],"introduce":[103],"Neural-Shape":[104],"(N-SfC),":[107],"learning-based":[109],"extension":[110],"incorporates":[112],"two":[113],"components":[114],"into":[115],"pipeline:":[118],"denoising":[120],"module,":[121],"which":[122,141],"alleviates":[123],"computational":[125,177],"cost":[126],"simulation,":[131],"an":[133],"optimization":[134],"process":[135],"based":[136],"on":[137],"learned":[138],"gradient":[139],"descent,":[140],"enables":[142],"better":[143],"convergence":[144],"using":[145],"fewer":[146],"iterations.":[147],"Extensive":[148],"experiments":[149],"demonstrate":[150],"effectiveness":[152],"our":[154],"neural":[155],"extensions":[156],"scenario":[159],"quality":[161],"control":[162],"3D":[164],"glass":[165],"printing,":[166],"where":[167],"significantly":[169],"outperform":[170],"current":[172],"state-of-the-art":[173],"terms":[175],"final":[180],"surface":[181],"error.":[182]},"counts_by_year":[],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2022-05-05T00:00:00"}
