{"id":"https://openalex.org/W4386075528","doi":"https://doi.org/10.1109/cvpr52729.2023.01756","title":"ObjectStitch: Object Compositing with Diffusion Model","display_name":"ObjectStitch: Object Compositing with Diffusion Model","publication_year":2023,"publication_date":"2023-06-01","ids":{"openalex":"https://openalex.org/W4386075528","doi":"https://doi.org/10.1109/cvpr52729.2023.01756"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52729.2023.01756","doi":"https://doi.org/10.1109/cvpr52729.2023.01756","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52729.2023.01756","pdf_url":null,"source":{"id":"https://openalex.org/S4210176548","display_name":"IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings","issn_l":"1063-6919","issn":["1063-6919","2332-564X","2575-7075"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2212.00932","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101019993","display_name":"Yizhi Song","orcid":"https://orcid.org/0000-0002-3005-382X","observed_orcids":["https://orcid.org/0000-0002-3005-382X"]},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yizhi Song","raw_affiliation_strings":["Purdue University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Purdue University","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114860359","display_name":"Zhifei Zhang","orcid":"https://orcid.org/0000-0003-0466-9548","observed_orcids":["https://orcid.org/0000-0003-0466-9548"]},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhifei Zhang","raw_affiliation_strings":["Adobe Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adobe Research","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101564904","display_name":"Zhe Lin","orcid":"https://orcid.org/0000-0003-1154-9907","observed_orcids":["https://orcid.org/0000-0003-1154-9907","https://orcid.org/0009-0007-0736-9694"]},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhe Lin","raw_affiliation_strings":["Adobe Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adobe Research","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055156362","display_name":"Scott D. Cohen","orcid":"https://orcid.org/0000-0002-3459-6899","observed_orcids":["https://orcid.org/0000-0002-3459-6899"]},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Scott Cohen","raw_affiliation_strings":["Adobe Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adobe Research","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110699179","display_name":"Brian L. Price","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brian Price","raw_affiliation_strings":["Adobe Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adobe Research","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036510129","display_name":"Jianming Zhang","orcid":"https://orcid.org/0000-0002-9954-6294","observed_orcids":["https://orcid.org/0000-0002-9954-6294"]},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianming Zhang","raw_affiliation_strings":["Adobe Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adobe Research","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016563944","display_name":"Soo Ye Kim","orcid":"https://orcid.org/0009-0003-8104-4100","observed_orcids":["https://orcid.org/0009-0003-8104-4100"]},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Soo Ye Kim","raw_affiliation_strings":["Adobe Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adobe Research","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090414723","display_name":"Daniel G. Aliaga","orcid":"https://orcid.org/0000-0001-9794-462X","observed_orcids":["https://orcid.org/0000-0001-9794-462X"]},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Aliaga","raw_affiliation_strings":["Purdue University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Purdue University","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":11.2498,"has_fulltext":true,"cited_by_count":129,"citation_normalized_percentile":{"value":0.98767043,"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":"18310","last_page":"18319"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":1.0,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":1.0,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.0,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.0,"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/conditional-diffusion-models","display_name":"conditional diffusion models","score":0.8679999709129333},{"id":"https://openalex.org/keywords/self-supervised-learning","display_name":"self-supervised learning","score":0.968999981880188},{"id":"https://openalex.org/keywords/homography","display_name":"homography","score":0.6259999871253967},{"id":"https://openalex.org/keywords/shadow-generation","display_name":"shadow generation","score":0.7099999785423279},{"id":"https://openalex.org/keywords/geometric-correction","display_name":"geometric correction","score":0.8330000042915344},{"id":"https://openalex.org/keywords/data-augmentation","display_name":"data augmentation","score":0.9330000281333923},{"id":"https://openalex.org/keywords/image-generation","display_name":"image generation","score":0.36800000071525574}],"concepts":[{"id":"https://openalex.org/C129315195","wikidata":"https://www.wikidata.org/wiki/Q1121886","display_name":"Compositing","level":3,"score":0.9063969850540161},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8024358749389648},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6540905237197876},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.6164931058883667},{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.5811468362808228},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5047789812088013},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5001912117004395},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.4855780005455017},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.44262051582336426},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3873494565486908},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.239872008562088},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.1493162214756012},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.13211989402770996},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cvpr52729.2023.01756","doi":"https://doi.org/10.1109/cvpr52729.2023.01756","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52729.2023.01756","pdf_url":null,"source":{"id":"https://openalex.org/S4210176548","display_name":"IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings","issn_l":"1063-6919","issn":["1063-6919","2332-564X","2575-7075"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2212.00932","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2212.00932","pdf_url":"https://arxiv.org/pdf/2212.00932","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2212.00932","doi":"https://doi.org/10.48550/arxiv.2212.00932","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2212.00932","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2212.00932","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2212.00932","pdf_url":"https://arxiv.org/pdf/2212.00932","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386075528.pdf","grobid_xml":"https://content.openalex.org/works/W4386075528.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W603908379","https://openalex.org/W1997488488","https://openalex.org/W2008331211","https://openalex.org/W2070604790","https://openalex.org/W2129069237","https://openalex.org/W2164147879","https://openalex.org/W2439114332","https://openalex.org/W2552465644","https://openalex.org/W2554856610","https://openalex.org/W2604469346","https://openalex.org/W2626778328","https://openalex.org/W2893749619","https://openalex.org/W2904367110","https://openalex.org/W2939574635","https://openalex.org/W2951005624","https://openalex.org/W2959300817","https://openalex.org/W2962737447","https://openalex.org/W2963981733","https://openalex.org/W2964082390","https://openalex.org/W2982695696","https://openalex.org/W2985680131","https://openalex.org/W2987206775","https://openalex.org/W2997647114","https://openalex.org/W3034684802","https://openalex.org/W3035244041","https://openalex.org/W3036167779","https://openalex.org/W3096831136","https://openalex.org/W3129576130","https://openalex.org/W3135367836","https://openalex.org/W3153469116","https://openalex.org/W3154831990","https://openalex.org/W3171714858","https://openalex.org/W3175191033","https://openalex.org/W3180196270","https://openalex.org/W3190116597","https://openalex.org/W3194909440","https://openalex.org/W3209532394","https://openalex.org/W3212616005","https://openalex.org/W3216352822","https://openalex.org/W4226125322","https://openalex.org/W4226182655","https://openalex.org/W4226530256","https://openalex.org/W4281485151","https://openalex.org/W4287029626","https://openalex.org/W4298187450","https://openalex.org/W4308163867","https://openalex.org/W4312353856","https://openalex.org/W4312933868","https://openalex.org/W4312966374","https://openalex.org/W4319300158","https://openalex.org/W4385991013","https://openalex.org/W4386057725","https://openalex.org/W4386072096","https://openalex.org/W4386075639","https://openalex.org/W4386083151","https://openalex.org/W6802987763","https://openalex.org/W6843813467","https://openalex.org/W6846425778"],"related_works":["https://openalex.org/W4310819165","https://openalex.org/W4403905772","https://openalex.org/W4402754148","https://openalex.org/W4409264120","https://openalex.org/W7127306676","https://openalex.org/W4321473512","https://openalex.org/W4386080987","https://openalex.org/W7134847683","https://openalex.org/W4405313479","https://openalex.org/W4404361444"],"abstract_inverted_index":{"Object":[0],"compositing":[1,36,65,81],"based":[2],"on":[3,156],"2D":[4],"images":[5,151],"is":[6,44,127],"a":[7,60,84,111,153],"challenging":[8],"problem":[9],"since":[10],"it":[11],"typically":[12],"involves":[13],"multiple":[14],"processing":[15],"stages":[16],"such":[17],"as":[18],"color":[19,91],"harmonization,":[20],"geometry":[21],"correction":[22],"and":[23,43,92,120,145],"shadow":[24,93],"generation":[25],"to":[26,116,130],"generate":[27],"realistic":[28],"results.":[29],"Furthermore,":[30],"annotating":[31],"training":[32],"data":[33,124],"pairs":[34],"for":[35,63],"requires":[37],"substantial":[38],"manual":[39,101],"effort":[40],"from":[41],"professionals,":[42],"hardly":[45],"scalable.":[46],"Thus,":[47],"with":[48],"the":[49,68,79,88,95,105,132,135,148],"recent":[50],"advances":[51],"in":[52,55,83,142,152],"generative":[53],"models,":[54],"this":[56],"work,":[57],"we":[58,109],"propose":[59],"selfsupervised":[61],"framework":[62,75],"object":[64,80,97,121],"by":[66],"leveraging":[67],"power":[69],"of":[70,94,134,147],"conditional":[71],"diffusion":[72],"models.":[73],"Our":[74,137],"can":[76],"hollistically":[77],"address":[78],"task":[82],"unified":[85],"model,":[86],"transforming":[87],"viewpoint,":[89],"geometry,":[90],"generated":[96],"while":[98],"requiring":[99],"no":[100],"labeling.":[102],"To":[103],"preserve":[104],"input":[106],"object's":[107],"characteristics,":[108],"introduce":[110],"content":[112],"adaptor":[113],"that":[114],"helps":[115],"maintain":[117],"categori-cal":[118],"semantics":[119],"appearance.":[122],"A":[123],"augmentation":[125],"method":[126,138],"further":[128],"adopted":[129],"improve":[131],"fidelity":[133],"generator.":[136],"outperforms":[139],"relevant":[140],"baselines":[141],"both":[143],"realism":[144],"faithfulness":[146],"synthesized":[149],"result":[150],"user":[154],"study":[155],"various":[157],"real-world":[158],"images.":[159]},"counts_by_year":[{"year":2026,"cited_by_count":28},{"year":2025,"cited_by_count":54},{"year":2024,"cited_by_count":40},{"year":2023,"cited_by_count":7}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2023-08-23T00:00:00"}