{"id":"https://openalex.org/W4404847732","doi":"https://doi.org/10.1109/tvcg.2024.3508712","title":"EvaSurf: Efficient View-Aware Implicit Textured Surface Reconstruction","display_name":"EvaSurf: Efficient View-Aware Implicit Textured Surface Reconstruction","publication_year":2024,"publication_date":"2024-11-29","ids":{"openalex":"https://openalex.org/W4404847732","doi":"https://doi.org/10.1109/tvcg.2024.3508712","pmid":"https://pubmed.ncbi.nlm.nih.gov/40030564"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2024.3508712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2024.3508712","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5071009439","display_name":"Jingnan Gao","orcid":"https://orcid.org/0000-0001-6688-8418"},"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":"Jingnan Gao","raw_affiliation_strings":["MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089865487","display_name":"Zhuo Chen","orcid":"https://orcid.org/0009-0004-1068-6525"},"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":false,"raw_author_name":"Zhuo Chen","raw_affiliation_strings":["MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048907728","display_name":"Yichao Yan","orcid":"https://orcid.org/0000-0003-3209-8965"},"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":false,"raw_author_name":"Yichao Yan","raw_affiliation_strings":["MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078843154","display_name":"Bowen Pan","orcid":"https://orcid.org/0000-0002-8711-7433"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bowen Pan","raw_affiliation_strings":["Alibaba Group, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Zhejiang, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115694828","display_name":"Zhe Wang","orcid":"https://orcid.org/0009-0002-3397-0938"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Wang","raw_affiliation_strings":["Alibaba Group, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Zhejiang, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046737860","display_name":"Jiangjing Lyu","orcid":"https://orcid.org/0000-0002-6461-9553"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangjing Lyu","raw_affiliation_strings":["Alibaba Group, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Zhejiang, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019708391","display_name":"Xiaokang Yang","orcid":"https://orcid.org/0000-0003-4029-3322"},"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":false,"raw_author_name":"Xiaokang Yang","raw_affiliation_strings":["MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5071009439"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.7357,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68530464,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"31","issue":"9","first_page":"6307","last_page":"6320"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9961000084877014,"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":0.9961000084877014,"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":0.9954000115394592,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7977471947669983},{"id":"https://openalex.org/keywords/surface-reconstruction","display_name":"Surface reconstruction","score":0.5923725366592407},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.47368577122688293},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.44051510095596313},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.42076995968818665},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.4068875312805176},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3571542501449585},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3384568989276886},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.10954195261001587},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09274664521217346}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7977471947669983},{"id":"https://openalex.org/C20885615","wikidata":"https://www.wikidata.org/wiki/Q825595","display_name":"Surface reconstruction","level":3,"score":0.5923725366592407},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.47368577122688293},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.44051510095596313},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.42076995968818665},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.4068875312805176},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3571542501449585},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3384568989276886},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.10954195261001587},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09274664521217346}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tvcg.2024.3508712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2024.3508712","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},{"id":"pmid:40030564","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40030564","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on visualization and computer graphics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G7308652284","display_name":null,"funder_award_id":"62201342","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":83,"referenced_works":["https://openalex.org/W1497617594","https://openalex.org/W1539230104","https://openalex.org/W2021716052","https://openalex.org/W2128052895","https://openalex.org/W2165306775","https://openalex.org/W2205172244","https://openalex.org/W2471962767","https://openalex.org/W2492560445","https://openalex.org/W2519683295","https://openalex.org/W2769022369","https://openalex.org/W2798670728","https://openalex.org/W2942074357","https://openalex.org/W2963604511","https://openalex.org/W2963926543","https://openalex.org/W2965741640","https://openalex.org/W2967564969","https://openalex.org/W2970670192","https://openalex.org/W2982131530","https://openalex.org/W2985626319","https://openalex.org/W2990173985","https://openalex.org/W3034968345","https://openalex.org/W3035515538","https://openalex.org/W3087216255","https://openalex.org/W3090531178","https://openalex.org/W3106672182","https://openalex.org/W3109585842","https://openalex.org/W3117476483","https://openalex.org/W3136656704","https://openalex.org/W3153220274","https://openalex.org/W3176179930","https://openalex.org/W3176368002","https://openalex.org/W3177583232","https://openalex.org/W3186415513","https://openalex.org/W3186630079","https://openalex.org/W3195620846","https://openalex.org/W3202037070","https://openalex.org/W3203257492","https://openalex.org/W3203570626","https://openalex.org/W3203806429","https://openalex.org/W3215769467","https://openalex.org/W3215927878","https://openalex.org/W4200313684","https://openalex.org/W4214564891","https://openalex.org/W4214661523","https://openalex.org/W4214731463","https://openalex.org/W4221151978","https://openalex.org/W4286611307","https://openalex.org/W4288242633","https://openalex.org/W4302276547","https://openalex.org/W4312234520","https://openalex.org/W4312325284","https://openalex.org/W4312679369","https://openalex.org/W4312969460","https://openalex.org/W4313154783","https://openalex.org/W4379527433","https://openalex.org/W4385289063","https://openalex.org/W4385318467","https://openalex.org/W4385527621","https://openalex.org/W4385532415","https://openalex.org/W4385945520","https://openalex.org/W4386066812","https://openalex.org/W4386071610","https://openalex.org/W4386075614","https://openalex.org/W4386076223","https://openalex.org/W4390871921","https://openalex.org/W4390872696","https://openalex.org/W4390872988","https://openalex.org/W4393248012","https://openalex.org/W4399563564","https://openalex.org/W4402715988","https://openalex.org/W4402716405","https://openalex.org/W4404654733","https://openalex.org/W6765978013","https://openalex.org/W6771141629","https://openalex.org/W6784492152","https://openalex.org/W6784729325","https://openalex.org/W6790818473","https://openalex.org/W6797770180","https://openalex.org/W6798033281","https://openalex.org/W6803908784","https://openalex.org/W6838746019","https://openalex.org/W6839182500","https://openalex.org/W6843126166"],"related_works":["https://openalex.org/W2064026934","https://openalex.org/W2083481614","https://openalex.org/W3095081273","https://openalex.org/W2013728941","https://openalex.org/W2090665771","https://openalex.org/W4225274103","https://openalex.org/W2154046714","https://openalex.org/W2189613078","https://openalex.org/W2579659702","https://openalex.org/W2923661510"],"abstract_inverted_index":{"Reconstructing":[0],"real-world":[1,180],"3D":[2,19,27],"objects":[3],"has":[4],"numerous":[5],"applications":[6],"in":[7,29,188],"computer":[8],"vision,":[9],"such":[10],"as":[11],"virtual":[12],"reality,":[13],"video":[14],"games,":[15],"and":[16,137,154,173,179,196],"animations.":[17],"Ideally,":[18],"reconstruction":[20,90],"methods":[21,32,46,65],"should":[22],"generate":[23,60],"high-fidelity":[24,61,117],"results":[25],"with":[26,105,125,133,208],"consistency":[28],"real-time.":[30],"Traditional":[31],"match":[33],"pixels":[34],"between":[35],"images":[36],"using":[37,192],"photo-consistency":[38],"constraints":[39],"or":[40,56],"learned":[41],"features,":[42],"while":[43],"differentiable":[44,53],"rendering":[45,55,158,214],"like":[47],"Neural":[48],"Radiance":[49],"Fields":[50],"(NeRF)":[51],"use":[52],"volume":[54],"surface-based":[57,103],"representation":[58],"to":[59,110,128,148],"scenes.":[62],"However,":[63],"these":[64,79],"require":[66],"excessive":[67],"runtime":[68],"for":[69,74,213],"rendering,":[70,118],"making":[71],"them":[72],"impractical":[73],"daily":[75],"applications.":[76],"To":[77,115],"address":[78],"challenges,":[80],"we":[81,98,119,141],"present":[82],"EvaSurf,":[83],"an":[84,101,121],"Efficient":[85],"View-Aware":[86],"implicit":[87,122,139],"textured":[88],"Surface":[89],"method":[91,168,184],"on":[92,159,176,198],"mobile":[93,161,199],"devices.":[94,162],"In":[95],"our":[96,167,183],"method,":[97],"first":[99],"employ":[100,143],"efficient":[102],"model":[104],"a":[106,144,193,209],"multi-view":[107],"supervision":[108],"module":[109],"ensure":[111],"accurate":[112,174],"mesh":[113,175],"reconstruction.":[114],"enable":[116],"learn":[120],"texture":[123],"embedded":[124],"view-aware":[126],"encoding":[127],"capture":[129],"view-dependent":[130],"information.":[131],"Furthermore,":[132],"the":[134,138,150],"explicit":[135],"geometry":[136],"texture,":[140],"can":[142,169,185],"lightweight":[145],"neural":[146],"shader":[147],"reduce":[149],"expense":[151],"of":[152],"computation":[153],"further":[155],"support":[156],"real-time":[157],"common":[160],"Extensive":[163],"experiments":[164],"demonstrate":[165],"that":[166],"reconstruct":[170],"high-quality":[171],"appearance":[172],"both":[177],"synthetic":[178],"datasets.":[181],"Moreover,":[182],"be":[186],"trained":[187],"just":[189],"1-2":[190],"hours":[191],"single":[194],"GPU":[195],"run":[197],"devices":[200],"at":[201],"over":[202],"40":[203],"FPS":[204],"(Frames":[205],"Per":[206],"Second),":[207],"final":[210],"package":[211],"required":[212],"taking":[215],"up":[216],"only":[217],"40-50":[218],"MB.":[219]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}