{"id":"https://openalex.org/W4402716134","doi":"https://doi.org/10.1109/cvpr52733.2024.00908","title":"EscherNet: A Generative Model for Scalable View Synthesis","display_name":"EscherNet: A Generative Model for Scalable View Synthesis","publication_year":2024,"publication_date":"2024-06-16","ids":{"openalex":"https://openalex.org/W4402716134","doi":"https://doi.org/10.1109/cvpr52733.2024.00908"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52733.2024.00908","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52733.2024.00908","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/A5100689086","display_name":"Xin Kong","orcid":"https://orcid.org/0000-0001-6771-3222"},"institutions":[{"id":"https://openalex.org/I4210089887","display_name":"Dyson (United Kingdom)","ror":"https://ror.org/00a4npp83","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210089887"]},{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xin Kong","raw_affiliation_strings":["Imperial College London,Dyson Robotics Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imperial College London,Dyson Robotics Lab","institution_ids":["https://openalex.org/I47508984","https://openalex.org/I4210089887"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044687301","display_name":"Shikun Liu","orcid":"https://orcid.org/0000-0001-5942-0841"},"institutions":[{"id":"https://openalex.org/I4210089887","display_name":"Dyson (United Kingdom)","ror":"https://ror.org/00a4npp83","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210089887"]},{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shikun Liu","raw_affiliation_strings":["Imperial College London,Dyson Robotics Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imperial College London,Dyson Robotics Lab","institution_ids":["https://openalex.org/I47508984","https://openalex.org/I4210089887"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091549331","display_name":"Xiaoyang Lyu","orcid":"https://orcid.org/0009-0007-5335-6691"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xiaoyang Lyu","raw_affiliation_strings":["The University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022668729","display_name":"Marwan Taher","orcid":null},"institutions":[{"id":"https://openalex.org/I4210089887","display_name":"Dyson (United Kingdom)","ror":"https://ror.org/00a4npp83","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210089887"]},{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Marwan Taher","raw_affiliation_strings":["Imperial College London,Dyson Robotics Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imperial College London,Dyson Robotics Lab","institution_ids":["https://openalex.org/I47508984","https://openalex.org/I4210089887"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102498323","display_name":"Xiaojuan Qi","orcid":"https://orcid.org/0000-0002-4285-1626"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xiaojuan Qi","raw_affiliation_strings":["The University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108137333","display_name":"Andrew J. Davison","orcid":null},"institutions":[{"id":"https://openalex.org/I4210089887","display_name":"Dyson (United Kingdom)","ror":"https://ror.org/00a4npp83","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210089887"]},{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Andrew J. Davison","raw_affiliation_strings":["Imperial College London,Dyson Robotics Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imperial College London,Dyson Robotics Lab","institution_ids":["https://openalex.org/I47508984","https://openalex.org/I4210089887"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":12.3978,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.98837059,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"9503","last_page":"9513"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9991999864578247,"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"}},"topics":[{"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9962999820709229,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9955000281333923,"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/computer-science","display_name":"Computer science","score":0.7338217496871948},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6041752099990845},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5689718127250671},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.415669322013855},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.35449743270874023},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3304465413093567},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2964954972267151},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.13985520601272583}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7338217496871948},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6041752099990845},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5689718127250671},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.415669322013855},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.35449743270874023},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3304465413093567},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2964954972267151},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.13985520601272583}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr52733.2024.00908","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52733.2024.00908","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":[{"id":"https://openalex.org/G7999120326","display_name":null,"funder_award_id":"EP/S036636/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":82,"referenced_works":["https://openalex.org/W569478347","https://openalex.org/W1920022804","https://openalex.org/W2133665775","https://openalex.org/W2211722331","https://openalex.org/W2962785568","https://openalex.org/W2963121255","https://openalex.org/W2963627347","https://openalex.org/W2963926543","https://openalex.org/W2971278627","https://openalex.org/W3034968345","https://openalex.org/W3036167779","https://openalex.org/W3043547428","https://openalex.org/W3109585842","https://openalex.org/W3117476483","https://openalex.org/W3155806510","https://openalex.org/W3176368002","https://openalex.org/W3202995573","https://openalex.org/W3213840695","https://openalex.org/W3215589927","https://openalex.org/W3216476011","https://openalex.org/W4214564891","https://openalex.org/W4214661523","https://openalex.org/W4221151978","https://openalex.org/W4224308101","https://openalex.org/W4280645263","https://openalex.org/W4283034080","https://openalex.org/W4285102264","https://openalex.org/W4292779060","https://openalex.org/W4298187450","https://openalex.org/W4312045746","https://openalex.org/W4312234520","https://openalex.org/W4312933868","https://openalex.org/W4312969460","https://openalex.org/W4321594000","https://openalex.org/W4372272552","https://openalex.org/W4382766104","https://openalex.org/W4383472654","https://openalex.org/W4384261892","https://openalex.org/W4385245566","https://openalex.org/W4385318467","https://openalex.org/W4386065515","https://openalex.org/W4386065887","https://openalex.org/W4386066359","https://openalex.org/W4386075660","https://openalex.org/W4386076286","https://openalex.org/W4386076493","https://openalex.org/W4386364964","https://openalex.org/W4386395766","https://openalex.org/W4386435778","https://openalex.org/W4386554984","https://openalex.org/W4387929748","https://openalex.org/W4387946888","https://openalex.org/W4390873192","https://openalex.org/W4390873331","https://openalex.org/W4390889720","https://openalex.org/W4394671432","https://openalex.org/W6687484953","https://openalex.org/W6739778489","https://openalex.org/W6739901393","https://openalex.org/W6757817989","https://openalex.org/W6763422710","https://openalex.org/W6763480078","https://openalex.org/W6778883912","https://openalex.org/W6779823529","https://openalex.org/W6791353385","https://openalex.org/W6793987055","https://openalex.org/W6797770180","https://openalex.org/W6810081322","https://openalex.org/W6838176817","https://openalex.org/W6843813467","https://openalex.org/W6847671982","https://openalex.org/W6852343506","https://openalex.org/W6853660671","https://openalex.org/W6854266301","https://openalex.org/W6854511533","https://openalex.org/W6855847383","https://openalex.org/W6855921447","https://openalex.org/W6856280527","https://openalex.org/W6856304189","https://openalex.org/W6857221871","https://openalex.org/W6857262082","https://openalex.org/W6857665103"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4380551139","https://openalex.org/W4317695495","https://openalex.org/W4287117424","https://openalex.org/W4387506531","https://openalex.org/W4238433571","https://openalex.org/W2967848559","https://openalex.org/W4299831724","https://openalex.org/W4283803360"],"abstract_inverted_index":{"We":[0],"introduce":[1],"EscherNet,":[2],"a":[3,20,65,73,85,109],"multi-view":[4],"conditioned":[5],"diffusion":[6],"model":[7],"for":[8,132,143,148],"view":[9,52,93],"synthesis.":[10],"EscherNet":[11,44,87,118],"learns":[12],"implicit":[13],"and":[14,27,41,49,100],"generative":[15],"3D":[16,102,149],"representations":[17],"coupled":[18],"with":[19,72],"specialised":[21],"camera":[22,33],"positional":[23],"encoding,":[24],"allowing":[25],"precise":[26],"continuous":[28],"relative":[29],"control":[30],"of":[31,39,76],"the":[32],"transformation":[34],"between":[35],"an":[36],"arbitrary":[37],"number":[38,75],"reference":[40,78],"target":[42,61,82],"views.":[43,83],"offers":[45],"exceptional":[46],"generality,":[47],"flexibility,":[48],"scalability":[50],"in":[51,122],"synthesis":[53],"\u2500it":[54],"can":[55],"generate":[56],"more":[57],"than":[58],"100":[59],"consistent":[60],"views":[62,79],"simultaneously":[63],"on":[64],"single":[66],"consumer-grade":[67],"GPU,":[68],"despite":[69],"being":[70],"trained":[71],"fixed":[74],"3":[77,81],"to":[80,128],"As":[84],"result,":[86],"not":[88],"only":[89],"addresses":[90],"zero-shot":[91],"novel":[92],"synthesis,":[94],"but":[95],"also":[96],"naturally":[97],"unifies":[98],"single-":[99],"multi-image":[101],"reconstruction,":[103],"combining":[104],"these":[105],"diverse":[106],"tasks":[107],"into":[108],"single,":[110],"cohesive":[111],"framework.":[112],"Our":[113],"extensive":[114],"experiments":[115],"demonstrate":[116],"that":[117],"achieves":[119],"state-of-the-art":[120],"performance":[121],"multiple":[123],"benchmarks,":[124],"even":[125],"when":[126],"compared":[127],"methods":[129],"specifically":[130],"tailored":[131],"each":[133],"individual":[134],"problem.":[135],"This":[136],"remarkable":[137],"versatility":[138],"opens":[139],"up":[140],"new":[141],"directions":[142],"designing":[144],"scalable":[145],"neural":[146],"architectures":[147],"vision.":[150],"Project":[151],"page:":[152],"https://kxhit.github.io/EscherNet.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":7}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
