{"id":"https://openalex.org/W4321020615","doi":"https://doi.org/10.1109/fg57933.2023.10042514","title":"Learning Continuous Mesh Representation with Spherical Implicit Surface","display_name":"Learning Continuous Mesh Representation with Spherical Implicit Surface","publication_year":2023,"publication_date":"2023-01-05","ids":{"openalex":"https://openalex.org/W4321020615","doi":"https://doi.org/10.1109/fg57933.2023.10042514"},"language":"en","primary_location":{"id":"doi:10.1109/fg57933.2023.10042514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg57933.2023.10042514","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 17th International Conference on Automatic Face and Gesture Recognition (FG)","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/A5047926878","display_name":"Zhongpai Gao","orcid":"https://orcid.org/0000-0003-4344-4501"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhongpai Gao","raw_affiliation_strings":["AI Institute, Shanghai Jiao Tong University,MoE Key Lab of Artificial Intelligence,Shanghai,China","MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China","United Imaging Intelligence, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"AI Institute, Shanghai Jiao Tong University,MoE Key Lab of Artificial Intelligence,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"United Imaging Intelligence, Cambridge, MA, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5047926878"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.4331,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.52385364,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":1.0,"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":1.0,"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"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9986000061035156,"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/polygon-mesh","display_name":"Polygon mesh","score":0.8742814064025879},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6284140944480896},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5702334046363831},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.5579993724822998},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.5258657932281494},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.5095441937446594},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.4855482280254364},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44427019357681274},{"id":"https://openalex.org/keywords/subdivision-surface","display_name":"Subdivision surface","score":0.43346288800239563},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.4108971059322357},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36306536197662354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3547050356864929},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2859349250793457},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.24044856429100037},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.21194010972976685},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.18994656205177307},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.1479274034500122}],"concepts":[{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.8742814064025879},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6284140944480896},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5702334046363831},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.5579993724822998},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.5258657932281494},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.5095441937446594},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.4855482280254364},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44427019357681274},{"id":"https://openalex.org/C199686383","wikidata":"https://www.wikidata.org/wiki/Q1529124","display_name":"Subdivision surface","level":3,"score":0.43346288800239563},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.4108971059322357},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36306536197662354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3547050356864929},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2859349250793457},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.24044856429100037},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.21194010972976685},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.18994656205177307},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.1479274034500122},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fg57933.2023.10042514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg57933.2023.10042514","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 17th International Conference on Automatic Face and Gesture Recognition (FG)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4447917454","display_name":null,"funder_award_id":"BX2019208","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G5266497850","display_name":null,"funder_award_id":"61901259","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"}],"funders":[{"id":"https://openalex.org/F4320320997","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","ror":"https://ror.org/02ddkpn78"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2002386777","https://openalex.org/W2086331119","https://openalex.org/W2137983211","https://openalex.org/W2211722331","https://openalex.org/W2342277278","https://openalex.org/W2560722161","https://openalex.org/W2746892480","https://openalex.org/W2791092480","https://openalex.org/W2796822548","https://openalex.org/W2798291180","https://openalex.org/W2883221003","https://openalex.org/W2883758202","https://openalex.org/W2926893252","https://openalex.org/W2949671016","https://openalex.org/W2962731536","https://openalex.org/W2963627347","https://openalex.org/W2963850211","https://openalex.org/W2963926543","https://openalex.org/W2964137676","https://openalex.org/W3003947827","https://openalex.org/W3033818674","https://openalex.org/W3035382289","https://openalex.org/W3036843665","https://openalex.org/W3102007725","https://openalex.org/W3109585842","https://openalex.org/W3117476483","https://openalex.org/W3174865552","https://openalex.org/W3184385152","https://openalex.org/W4221151978","https://openalex.org/W4254597134","https://openalex.org/W6631190155","https://openalex.org/W6748208425","https://openalex.org/W6780179280"],"related_works":["https://openalex.org/W2097422415","https://openalex.org/W2382908174","https://openalex.org/W4386160109","https://openalex.org/W2479503209","https://openalex.org/W2075574617","https://openalex.org/W1877387280","https://openalex.org/W1984393693","https://openalex.org/W2128904762","https://openalex.org/W2017013025","https://openalex.org/W2182963470"],"abstract_inverted_index":{"As":[0],"the":[1,23,59,76,102,107,111,117],"most":[2],"common":[3,45],"representation":[4,38,132,140,168],"for":[5,39,153,178],"3D":[6,20,142],"shapes,":[7],"mesh":[8,71,126],"is":[9,169],"often":[10],"stored":[11],"discretely":[12],"with":[13,41,171,180],"arrays":[14],"of":[15,98],"vertices":[16],"and":[17,46,53,91,138,159,184],"faces.":[18],"However,":[19],"shapes":[21],"in":[22,49,127,141,149,190],"real":[24],"world":[25],"are":[26,120,175],"presented":[27],"continuously.":[28],"In":[29],"this":[30],"paper,":[31],"we":[32,57,80,145],"propose":[33],"to":[34,110],"learn":[35,81],"a":[36,44,88,92,96,125,134,150,156,160,181],"continuous":[37,139],"meshes":[40,66,179],"fixed":[42,182],"topology,":[43],"practical":[47],"setting":[48],"many":[50],"faces-,":[51],"hand-,":[52],"body-related":[54],"applications.":[55],"First,":[56],"split":[58],"template":[60],"into":[61],"multiple":[62],"closed":[63],"manifold":[64],"genus-0":[65,70],"so":[67],"that":[68,165,174,188],"each":[69],"can":[72,123],"be":[73],"parameterized":[74],"onto":[75],"unit":[77],"sphere.":[78],"Then":[79],"spherical":[82,89,118],"implicit":[83],"surface":[84],"(SIS),":[85],"which":[86],"takes":[87],"coordinate":[90,103,112],"global":[93],"feature":[94],"or":[95],"set":[97],"local":[99],"features":[100],"around":[101],"as":[104,113],"inputs,":[105],"predicting":[106],"vertex":[108],"corresponding":[109],"an":[114,128],"output.":[115],"Since":[116],"coordinates":[119],"continuous,":[121],"SIS":[122,131,147,167],"depict":[124],"arbitrary":[129,191],"resolution.":[130],"builds":[133],"bridge":[135],"between":[136],"discrete":[137],"shapes.":[143],"Specifically,":[144],"train":[146],"networks":[148],"self-supervised":[151],"manner":[152],"two":[154],"tasks:":[155],"reconstruction":[157],"task":[158],"super-resolution":[161],"task.":[162],"Experiments":[163],"show":[164],"our":[166],"comparable":[170],"state-of-the-art":[172],"methods":[173,187],"specifically":[176],"designed":[177],"resolution":[183],"significantly":[185],"outperforms":[186],"work":[189],"resolutions.":[192]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
