{"id":"https://openalex.org/W4399695993","doi":"https://doi.org/10.48550/arxiv.2406.09371","title":"LRM-Zero: Training Large Reconstruction Models with Synthesized Data","display_name":"LRM-Zero: Training Large Reconstruction Models with Synthesized Data","publication_year":2024,"publication_date":"2024-06-13","ids":{"openalex":"https://openalex.org/W4399695993","doi":"https://doi.org/10.48550/arxiv.2406.09371"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2406.09371","pdf_url":"http://arxiv.org/pdf/2406.09371","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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://arxiv.org/pdf/2406.09371","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101283631","display_name":"Desai Xie","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xie, Desai","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5099137440","display_name":"Sai Bi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bi, Sai","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034904892","display_name":"Zhixin Shu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shu, Zhixin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076488834","display_name":"Kai Zhang","orcid":"https://orcid.org/0000-0001-9700-7943"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Kai","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110695052","display_name":"Zexiang Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Zexiang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101801798","display_name":"Yitong Zhou","orcid":"https://orcid.org/0000-0002-1094-7826"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Yi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022418359","display_name":"S\u00f6ren Pirk","orcid":"https://orcid.org/0000-0003-1937-9797"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pirk, S\u00f6ren","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109733426","display_name":"Arie Kaufman","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kaufman, Arie","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071465160","display_name":"Xin Sun","orcid":"https://orcid.org/0000-0001-5909-5786"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Xin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101678221","display_name":"Hao Tan","orcid":"https://orcid.org/0009-0008-6927-951X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tan, Hao","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":85},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T14339","display_name":"Automated Reconstruction of Fragmented Objects","score":0.9447,"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"}},"topics":[{"id":"https://openalex.org/T14339","display_name":"Automated Reconstruction of Fragmented Objects","score":0.9447,"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/zero","display_name":"Zero (linguistics)","score":0.7947517},{"id":"https://openalex.org/keywords/document-reconstruction","display_name":"Document Reconstruction","score":0.578579},{"id":"https://openalex.org/keywords/reconstruction","display_name":"Reconstruction","score":0.534544},{"id":"https://openalex.org/keywords/fragmented-objects","display_name":"Fragmented Objects","score":0.534541},{"id":"https://openalex.org/keywords/image-matching","display_name":"Image Matching","score":0.520603},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.47444165}],"concepts":[{"id":"https://openalex.org/C2780813799","wikidata":"https://www.wikidata.org/wiki/Q3274237","display_name":"Zero (linguistics)","level":2,"score":0.7947517},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.71441543},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.489753},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.47444165},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29120308},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14038986},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.07313302},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2406.09371","pdf_url":"http://arxiv.org/pdf/2406.09371","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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2406.09371","pdf_url":"http://arxiv.org/pdf/2406.09371","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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4396701345","https://openalex.org/W4394050964","https://openalex.org/W4391375266","https://openalex.org/W2810751659","https://openalex.org/W2748952813","https://openalex.org/W2551249631","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W230091440","https://openalex.org/W2233261550"],"abstract_inverted_index":{"We":[0,95,123],"present":[1],"LRM-Zero,":[2,99],"a":[3],"Large":[4],"Reconstruction":[5],"Model":[6],"(LRM)":[7],"trained":[8,100,120],"entirely":[9],"on":[10,121],"synthesized":[11,32,104],"3D":[12,17,26,51,66,144,152],"data,":[13,67],"achieving":[14],"high-quality":[15],"sparse-view":[16],"reconstruction.":[18],"The":[19,164],"core":[20,149],"of":[21,114,130,147,161],"LRM-Zero":[22],"is":[23,30,75],"our":[24,98,102],"procedural":[25,166],"dataset,":[27],"Zeroverse,":[28,105],"which":[29,55],"automatically":[31],"from":[33],"simple":[34],"primitive":[35],"shapes":[36],"with":[37,101,118],"random":[38],"texturing":[39],"and":[40,47,80,137,169],"augmentations":[41],"(e.g.,":[42,53],"height":[43],"fields,":[44],"boolean":[45],"differences,":[46],"wireframes).":[48],"Unlike":[49],"previous":[50],"datasets":[52],"Objaverse)":[54],"are":[56,84,172],"often":[57],"captured":[58],"or":[59,88],"crafted":[60],"by":[61],"humans":[62],"to":[63,87,134],"approximate":[64],"real":[65,93],"Zeroverse":[68,131],"completely":[69],"ignores":[70],"realistic":[71],"global":[72],"semantics":[73,160],"but":[74],"rich":[76],"in":[77,111,151],"complex":[78],"geometric":[79],"texture":[81],"details":[82],"that":[83,97,132,143],"locally":[85],"similar":[86],"even":[89],"more":[90],"intricate":[91],"than":[92],"objects.":[94,163],"demonstrate":[96],"fully":[103],"can":[106,154],"achieve":[107],"high":[108],"visual":[109],"quality":[110],"the":[112,148,159],"reconstruction":[113],"real-world":[115,162],"objects,":[116],"competitive":[117],"models":[119],"Objaverse.":[122],"also":[124],"analyze":[125],"several":[126],"critical":[127],"design":[128],"choices":[129],"contribute":[133],"LRM-Zero's":[135],"capability":[136],"training":[138],"stability.":[139],"Our":[140],"work":[141],"demonstrates":[142],"reconstruction,":[145],"one":[146],"tasks":[150],"vision,":[153],"potentially":[155],"be":[156],"addressed":[157],"without":[158],"Zeroverse's":[165],"synthesis":[167],"code":[168],"interactive":[170],"visualization":[171],"available":[173],"at:":[174],"https://desaixie.github.io/lrm-zero/.":[175]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4399695993","counts_by_year":[],"updated_date":"2024-11-22T09:41:11.828065","created_date":"2024-06-15"}