{"id":"https://openalex.org/W7160230731","doi":"https://doi.org/10.1109/wacv61042.2026.00168","title":"RapidMV: Leveraging Spatio-Angular Latent Space for Efficient and Consistent Text-to-Multi-View Synthesis","display_name":"RapidMV: Leveraging Spatio-Angular Latent Space for Efficient and Consistent Text-to-Multi-View Synthesis","publication_year":2026,"publication_date":"2026-03-06","ids":{"openalex":"https://openalex.org/W7160230731","doi":"https://doi.org/10.1109/wacv61042.2026.00168"},"language":null,"primary_location":{"id":"doi:10.1109/wacv61042.2026.00168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5135343990","display_name":"Seungwook Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]},{"id":"https://openalex.org/I2799891827","display_name":"Korea Post","ror":"https://ror.org/00p45d091","country_code":"KR","type":"government","lineage":["https://openalex.org/I2799891827","https://openalex.org/I2801339556","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seungwook Kim","raw_affiliation_strings":["POSTECH"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"POSTECH","institution_ids":["https://openalex.org/I123900574","https://openalex.org/I2799891827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135334696","display_name":"Yichun Shi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yichun Shi","raw_affiliation_strings":["Meta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135398450","display_name":"Kejie Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kejie Li","raw_affiliation_strings":["Meta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135385563","display_name":"Minsu Cho","orcid":null},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]},{"id":"https://openalex.org/I2799891827","display_name":"Korea Post","ror":"https://ror.org/00p45d091","country_code":"KR","type":"government","lineage":["https://openalex.org/I2799891827","https://openalex.org/I2801339556","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Minsu Cho","raw_affiliation_strings":["POSTECH"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"POSTECH","institution_ids":["https://openalex.org/I123900574","https://openalex.org/I2799891827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011130586","display_name":"Peng Wang","orcid":"https://orcid.org/0000-0002-8265-9866"},"institutions":[{"id":"https://openalex.org/I231086526","display_name":"University of Siedlce","ror":"https://ror.org/01wkb9987","country_code":"PL","type":"education","lineage":["https://openalex.org/I231086526"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Peng Wang","raw_affiliation_strings":["ByteDance Seed"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ByteDance Seed","institution_ids":["https://openalex.org/I231086526"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.44869135,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1674","last_page":"1684"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.3278000056743622,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10181","display_name":"Natural Language Processing Techniques","score":0.3278000056743622,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10028","display_name":"Topic Modeling","score":0.27559998631477356,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.06300000101327896,"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/space","display_name":"Space (punctuation)","score":0.4083999991416931},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.2800999879837036},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.26910001039505005},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.26739999651908875},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.26420000195503235},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.2590000033378601}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5774000287055969},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4083999991416931},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38089999556541443},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29910001158714294},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.2800999879837036},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.26910001039505005},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.26739999651908875},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.26420000195503235},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2590000033378601},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2590000033378601},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25859999656677246},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.2581999897956848},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2538999915122986},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.25290000438690186}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wacv61042.2026.00168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W4200150166","https://openalex.org/W4221151978","https://openalex.org/W4312933868","https://openalex.org/W4386065887","https://openalex.org/W4386071957","https://openalex.org/W4386075660","https://openalex.org/W4390482924","https://openalex.org/W4390872297","https://openalex.org/W4390873526","https://openalex.org/W4390874575","https://openalex.org/W4402753913","https://openalex.org/W4402772510","https://openalex.org/W4402951568","https://openalex.org/W4402951629","https://openalex.org/W4404625217","https://openalex.org/W4411528087","https://openalex.org/W7133230070","https://openalex.org/W7133250524","https://openalex.org/W7160098870"],"related_works":[],"abstract_inverted_index":{"Generating":[0],"consistent":[1],"multi-view":[2,32,78],"images":[3,34],"given":[4],"a":[5,23,44,58,71],"text":[6],"prompt":[7],"is":[8],"an":[9],"essential":[10],"bridge":[11],"to":[12],"generating":[13],"synthetic":[14,33],"3D":[15],"assets.":[16],"In":[17,40],"this":[18],"work,":[19],"we":[20,42,50],"introduce":[21,43],"RapidMV,":[22],"novel":[24,45],"text-to-multi-view":[25],"generative":[26],"model":[27],"that":[28,97],"can":[29],"produce":[30],"32":[31],"in":[35,102],"just":[36],"around":[37],"5":[38],"seconds.":[39],"essence,":[41],"spatio-angular":[46],"latent":[47,73],"space,":[48],"where":[49],"encode":[51],"not":[52],"only":[53],"the":[54,63],"spatial":[55],"appearance":[56],"of":[57,84,104],"single":[59,72],"frame,":[60],"but":[61],"also":[62],"angular":[64],"viewpoint":[65],"deviations":[66],"across":[67],"multiple":[68,93],"frames":[69],"into":[70,92],"for":[74],"improved":[75],"efficiency":[76],"and":[77,106,111],"consistency.":[79],"We":[80,95],"achieve":[81],"effective":[82],"training":[83,90],"RapidMV":[85,98],"by":[86],"strategically":[87],"decomposing":[88],"our":[89],"process":[91],"steps.":[94],"demonstrate":[96],"outperforms":[99],"existing":[100],"methods":[101],"terms":[103],"consistency":[105],"latency,":[107],"with":[108],"competitive":[109],"quality":[110],"text-image":[112],"alignment.":[113]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-05-06T00:00:00"}
