{"id":"https://openalex.org/W4402753908","doi":"https://doi.org/10.1109/cvpr52733.2024.01986","title":"ShapeMatcher: Self-Supervised Joint Shape Canonicalization, Segmentation, Retrieval and Deformation","display_name":"ShapeMatcher: Self-Supervised Joint Shape Canonicalization, Segmentation, Retrieval and Deformation","publication_year":2024,"publication_date":"2024-06-16","ids":{"openalex":"https://openalex.org/W4402753908","doi":"https://doi.org/10.1109/cvpr52733.2024.01986"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52733.2024.01986","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52733.2024.01986","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","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/A5017575531","display_name":"Yan Di","orcid":"https://orcid.org/0000-0003-0671-8323"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Yan Di","raw_affiliation_strings":["Technical University of Munich"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029834032","display_name":"Chenyangguang Zhang","orcid":"https://orcid.org/0009-0005-7852-4124"},"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":"Chenyangguang Zhang","raw_affiliation_strings":["Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115695094","display_name":"Chaowei Wang","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"]},{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaowei Wang","raw_affiliation_strings":["Northwestern Polytechnical University","Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035771614","display_name":"Ruida Zhang","orcid":"https://orcid.org/0000-0002-2693-3322"},"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":"Ruida Zhang","raw_affiliation_strings":["Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054810193","display_name":"Guangyao Zhai","orcid":"https://orcid.org/0000-0002-6702-8302"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Guangyao Zhai","raw_affiliation_strings":["Technical University of Munich"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100324131","display_name":"Yanyan Li","orcid":"https://orcid.org/0000-0002-4449-4773"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yanyan Li","raw_affiliation_strings":["Technical University of Munich"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101674005","display_name":"Bowen Fu","orcid":"https://orcid.org/0000-0002-6608-3510"},"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":"Bowen Fu","raw_affiliation_strings":["Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024401174","display_name":"Xiangyang Ji","orcid":"https://orcid.org/0000-0002-7333-9975"},"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":"Xiangyang Ji","raw_affiliation_strings":["Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100666832","display_name":"Shan Gao","orcid":"https://orcid.org/0000-0001-5455-2175"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shan Gao","raw_affiliation_strings":["Northwestern Polytechnical University"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5017575531"],"corresponding_institution_ids":["https://openalex.org/I62916508"],"apc_list":null,"apc_paid":null,"fwci":1.4543,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.79263532,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"21017","last_page":"21028"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9986000061035156,"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"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9986000061035156,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.995199978351593,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.994700014591217,"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/joint","display_name":"Joint (building)","score":0.7256268262863159},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.647743821144104},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.631415605545044},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.618873119354248},{"id":"https://openalex.org/keywords/deformation","display_name":"Deformation (meteorology)","score":0.6138160824775696},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.47237780690193176},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46401724219322205},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4496576488018036},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.431729257106781},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.11229979991912842},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.09746164083480835},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07692557573318481},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.050726234912872314}],"concepts":[{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.7256268262863159},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.647743821144104},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.631415605545044},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.618873119354248},{"id":"https://openalex.org/C204366326","wikidata":"https://www.wikidata.org/wiki/Q3027650","display_name":"Deformation (meteorology)","level":2,"score":0.6138160824775696},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.47237780690193176},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46401724219322205},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4496576488018036},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.431729257106781},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.11229979991912842},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.09746164083480835},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07692557573318481},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.050726234912872314}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr52733.2024.01986","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52733.2024.01986","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":88,"referenced_works":["https://openalex.org/W1999993274","https://openalex.org/W2083163329","https://openalex.org/W2097374608","https://openalex.org/W2123487031","https://openalex.org/W2559882727","https://openalex.org/W2594519801","https://openalex.org/W2788775653","https://openalex.org/W2796422723","https://openalex.org/W2885163231","https://openalex.org/W2903435684","https://openalex.org/W2911758669","https://openalex.org/W2944579304","https://openalex.org/W2948990653","https://openalex.org/W2961368225","https://openalex.org/W2962849139","https://openalex.org/W2962931817","https://openalex.org/W2963284712","https://openalex.org/W2963627347","https://openalex.org/W2963926543","https://openalex.org/W2964213081","https://openalex.org/W2964310454","https://openalex.org/W2986615800","https://openalex.org/W2987372617","https://openalex.org/W2987505621","https://openalex.org/W2989341556","https://openalex.org/W2989645276","https://openalex.org/W2990578762","https://openalex.org/W3010623357","https://openalex.org/W3035024952","https://openalex.org/W3035424742","https://openalex.org/W3035563186","https://openalex.org/W3089532322","https://openalex.org/W3093542211","https://openalex.org/W3101274772","https://openalex.org/W3105863736","https://openalex.org/W3108187912","https://openalex.org/W3109984686","https://openalex.org/W3111692021","https://openalex.org/W3158545781","https://openalex.org/W3169909104","https://openalex.org/W3172610252","https://openalex.org/W3175844808","https://openalex.org/W3181799004","https://openalex.org/W3184081648","https://openalex.org/W3193676140","https://openalex.org/W3203583526","https://openalex.org/W3215584334","https://openalex.org/W4200150166","https://openalex.org/W4210811533","https://openalex.org/W4226020718","https://openalex.org/W4226321491","https://openalex.org/W4236965008","https://openalex.org/W4249976801","https://openalex.org/W4282813457","https://openalex.org/W4297598254","https://openalex.org/W4298132234","https://openalex.org/W4301369164","https://openalex.org/W4312700461","https://openalex.org/W4312706422","https://openalex.org/W4312878643","https://openalex.org/W4313023430","https://openalex.org/W4313027996","https://openalex.org/W4313172691","https://openalex.org/W4313189197","https://openalex.org/W4317496717","https://openalex.org/W4323644231","https://openalex.org/W4383108845","https://openalex.org/W4385965690","https://openalex.org/W4386702739","https://openalex.org/W4390873313","https://openalex.org/W4394671432","https://openalex.org/W4401415428","https://openalex.org/W6682441149","https://openalex.org/W6687484953","https://openalex.org/W6748208425","https://openalex.org/W6749031613","https://openalex.org/W6752766600","https://openalex.org/W6752979358","https://openalex.org/W6763422710","https://openalex.org/W6764095317","https://openalex.org/W6778711140","https://openalex.org/W6784236403","https://openalex.org/W6785319480","https://openalex.org/W6787151193","https://openalex.org/W6838697604","https://openalex.org/W6855828098","https://openalex.org/W6856549790","https://openalex.org/W6990034122"],"related_works":["https://openalex.org/W1986655823","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W3011384228","https://openalex.org/W2945274617","https://openalex.org/W3199300986","https://openalex.org/W4313052709","https://openalex.org/W4298131179","https://openalex.org/W2375430703"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,27,99],"present":[4],"ShapeMatcher,":[5],"a":[6,20,88,165],"unified":[7],"self-supervised":[8],"learning":[9],"framework":[10],"for":[11,145],"joint":[12],"shape":[13,103],"canonicalization,":[14,136],"segmentation,":[15,137],"retrieval":[16,67,77],"and":[17,46,60,79,139,155],"deformation.":[18,121],"Given":[19],"partially-observed":[21],"object":[22,31,42,113],"in":[23,104],"an":[24],"arbitrary":[25],"pose,":[26],"first":[28],"canonicalize":[29],"the":[30,41,70,82,93,101,105,111,128,132],"by":[32,114,164],"extracting":[33],"point-wise":[34],"affine-invariant":[35],"features,":[36],"disentangling":[37],"inherent":[38],"structure":[39],"of":[40,125,131],"with":[43,84],"its":[44,76],"pose":[45],"size.":[47],"These":[48],"learned":[49],"features":[50,71],"are":[51],"then":[52],"leveraged":[53],"to":[54,91,108],"predict":[55],"semantically":[56],"consistent":[57],"part":[58,62,74,116],"segmentation":[59],"corresponding":[61],"centers.":[63],"Next,":[64],"our":[65],"lightweight":[66],"module":[68,107],"aggregates":[69],"within":[72],"each":[73],"as":[75],"token":[78],"compare":[80],"all":[81],"tokens":[83],"source":[85],"shapes":[86],"from":[87],"pre-established":[89],"database":[90],"identify":[92],"most":[94],"geometrically":[95],"similar":[96],"shape.":[97],"Finally,":[98],"deform":[100],"retrieved":[102],"deformation":[106],"tightly":[109],"fit":[110],"input":[112],"harnessing":[115],"center":[117],"guided":[118],"neural":[119],"cage":[120],"The":[122],"key":[123],"insight":[124],"ShapeMaker":[126],"is":[127,169],"simultaneous":[129],"training":[130],"four":[133],"highly-associated":[134],"processes:":[135],"retrieval,":[138],"deformation,":[140],"leveraging":[141],"cross-task":[142],"consistency":[143],"losses":[144],"mutual":[146],"supervision.":[147],"Extensive":[148],"experiments":[149],"on":[150],"synthetic":[151],"datasets":[152],"PartNet,":[153],"ComplementMe,":[154],"real-world":[156],"dataset":[157],"Scan2CAD":[158],"demonstrate":[159],"that":[160],"ShapeMatcher":[161],"surpasses":[162],"competitors":[163],"large":[166],"margin.":[167],"Code":[168],"released":[170],"at":[171],"https://github.com/Det1999/ShapeMaker.":[172]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}