{"id":"https://openalex.org/W4387968451","doi":"https://doi.org/10.1145/3581783.3612419","title":"Dynamic View Synthesis with Spatio-Temporal Feature Warping from Sparse Views","display_name":"Dynamic View Synthesis with Spatio-Temporal Feature Warping from Sparse Views","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4387968451","doi":"https://doi.org/10.1145/3581783.3612419"},"language":"en","primary_location":{"id":"doi:10.1145/3581783.3612419","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3612419","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","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/A5058419988","display_name":"Deqi Li","orcid":"https://orcid.org/0000-0001-5742-6609"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deqi Li","raw_affiliation_strings":["Beijing Normal University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5742-6609","affiliations":[{"raw_affiliation_string":"Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103160218","display_name":"Shi-Sheng Huang","orcid":"https://orcid.org/0000-0002-6978-8022"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shi-Sheng Huang","raw_affiliation_strings":["Beijing Normal University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6978-8022","affiliations":[{"raw_affiliation_string":"Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029149757","display_name":"Tianyu Shen","orcid":"https://orcid.org/0000-0001-7614-7015"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyu Shen","raw_affiliation_strings":["Beijing Normal University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7614-7015","affiliations":[{"raw_affiliation_string":"Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022334521","display_name":"Hua Huang","orcid":"https://orcid.org/0000-0003-2587-1702"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Huang","raw_affiliation_strings":["Beijing Normal University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2587-1702","affiliations":[{"raw_affiliation_string":"Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I25254941"],"apc_list":null,"apc_paid":null,"fwci":0.7283,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.8000264,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1565","last_page":"1576"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9958999752998352,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9918000102043152,"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/view-synthesis","display_name":"View synthesis","score":0.8617285490036011},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8017376065254211},{"id":"https://openalex.org/keywords/image-warping","display_name":"Image warping","score":0.7264172434806824},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6391034722328186},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6200066208839417},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.544154942035675},{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"Dynamic time warping","score":0.5177363753318787},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.491894006729126},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.487674355506897},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37327951192855835}],"concepts":[{"id":"https://openalex.org/C2776449333","wikidata":"https://www.wikidata.org/wiki/Q7928781","display_name":"View synthesis","level":3,"score":0.8617285490036011},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8017376065254211},{"id":"https://openalex.org/C157202957","wikidata":"https://www.wikidata.org/wiki/Q1659609","display_name":"Image warping","level":2,"score":0.7264172434806824},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6391034722328186},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6200066208839417},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.544154942035675},{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.5177363753318787},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.491894006729126},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.487674355506897},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37327951192855835},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3581783.3612419","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3612419","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","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":50,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1966276047","https://openalex.org/W2016416397","https://openalex.org/W2056906339","https://openalex.org/W2119781527","https://openalex.org/W2520707372","https://openalex.org/W2558333741","https://openalex.org/W2771965516","https://openalex.org/W2901982540","https://openalex.org/W2902375431","https://openalex.org/W2912407694","https://openalex.org/W2922509574","https://openalex.org/W2962785568","https://openalex.org/W2963416674","https://openalex.org/W2990256309","https://openalex.org/W3034801905","https://openalex.org/W3035318263","https://openalex.org/W3035524985","https://openalex.org/W3108973446","https://openalex.org/W3153220274","https://openalex.org/W3158035011","https://openalex.org/W3176941685","https://openalex.org/W3181740976","https://openalex.org/W3184952021","https://openalex.org/W3186630079","https://openalex.org/W3193453419","https://openalex.org/W3196772929","https://openalex.org/W3202995573","https://openalex.org/W3203570626","https://openalex.org/W3204859697","https://openalex.org/W4200150166","https://openalex.org/W4214564891","https://openalex.org/W4214661523","https://openalex.org/W4214748949","https://openalex.org/W4252791923","https://openalex.org/W4281563989","https://openalex.org/W4281624455","https://openalex.org/W4304080788","https://openalex.org/W4304091953","https://openalex.org/W4312252068","https://openalex.org/W4312268073","https://openalex.org/W4312280420","https://openalex.org/W4312369535","https://openalex.org/W4312424959","https://openalex.org/W4312535447","https://openalex.org/W4312557759","https://openalex.org/W4312969460","https://openalex.org/W4312970120","https://openalex.org/W4313165271","https://openalex.org/W6922057760"],"related_works":["https://openalex.org/W2347413598","https://openalex.org/W2092666677","https://openalex.org/W1918542373","https://openalex.org/W71572444","https://openalex.org/W1997383766","https://openalex.org/W2154472250","https://openalex.org/W2350336482","https://openalex.org/W2035335582","https://openalex.org/W2229352698","https://openalex.org/W4304091953"],"abstract_inverted_index":{"Significant":[0],"progress":[1],"has":[2,39],"been":[3,41],"made":[4],"in":[5,21,120,186],"realizing":[6],"novel":[7,147],"view":[8,23,37,69,128,158,176],"synthesis":[9,24,38,70,159,177],"of":[10,76,90,127,188],"dynamic":[11,22,113,157],"scenes":[12],"from":[13],"sparse":[14,143,162],"input":[15,144,163],"views.":[16,148,164],"However,":[17],"achieving":[18],"spatio-temporal":[19,34,50,139],"consistency":[20],"remains":[25],"to":[26,63,136,183],"be":[27,57],"challenging":[28],"for":[29,36],"previous":[30,184],"approaches,":[31],"since":[32],"the":[33,112,117,124,130,138,150],"correlation":[35,140],"not":[40],"fully":[42],"explored.":[43],"In":[44,123],"this":[45],"paper,":[46],"we":[47,152],"propose":[48],"a":[49,60,80,96,103],"feature":[51,82,105],"warping":[52,83,106],"(STFW)":[53],"mechanism,":[54],"which":[55,86],"can":[56],"embedded":[58],"into":[59],"deep":[61],"model":[62,160],"produce":[64],"high-quality":[65],"and":[66,101,132,146,166],"spatio-temporally":[67],"consistent":[68],"results.":[71],"The":[72],"two":[73],"core":[74],"components":[75],"STFW":[77],"are:":[78],"(1)":[79],"spatial":[81],"(SFW)":[84],"module,":[85],"enables":[87],"adaptive":[88],"perception":[89],"multi-view":[91,171],"context-consistent":[92],"geometric":[93],"information":[94],"with":[95,161],"compact":[97],"point":[98],"cloud":[99],"representation,":[100],"(2)":[102],"temporal":[104],"(TFW)":[107],"module":[108],"that":[109,174],"implicitly":[110],"models":[111],"geometry":[114],"by":[115],"approaching":[116],"pixel":[118],"shift":[119],"image":[121],"coordinate.":[122],"optimization":[125],"process":[126],"synthesis,":[129],"SFW":[131],"TFW":[133],"are":[134],"integrated":[135],"exploit":[137],"cues":[141],"across":[142],"views":[145],"Leveraging":[149],"STFW,":[151],"further":[153],"build":[154],"an":[155],"end-to-end":[156],"Qualitative":[165],"quantitative":[167],"evaluation":[168],"on":[169],"public":[170],"datasets":[172],"demonstrate":[173],"our":[175],"pipeline":[178],"achieves":[179],"better":[180],"performance":[181],"compared":[182],"methods":[185],"terms":[187],"visual":[189],"quality.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}