{"id":"https://openalex.org/W4396506115","doi":"https://doi.org/10.1109/tcsvt.2024.3395447","title":"FewarNet: An Efficient Few-Shot View Synthesis Network Based on Trend Regularization","display_name":"FewarNet: An Efficient Few-Shot View Synthesis Network Based on Trend Regularization","publication_year":2024,"publication_date":"2024-04-30","ids":{"openalex":"https://openalex.org/W4396506115","doi":"https://doi.org/10.1109/tcsvt.2024.3395447"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2024.3395447","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3395447","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-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/A5043474250","display_name":"Chenxi Song","orcid":"https://orcid.org/0000-0002-2542-9204"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chenxi Song","raw_affiliation_strings":["College of Communication Engineering, Jilin University, Changchun, China","College of Communication Engineering, Jilin University, Changchun, P. R. China"],"affiliations":[{"raw_affiliation_string":"College of Communication Engineering, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]},{"raw_affiliation_string":"College of Communication Engineering, Jilin University, Changchun, P. R. China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101855294","display_name":"Shigang Wang","orcid":"https://orcid.org/0000-0002-3598-9352"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shigang Wang","raw_affiliation_strings":["College of Communication Engineering, Jilin University, Changchun, China","College of Communication Engineering, Jilin University, Changchun, P. R. China"],"affiliations":[{"raw_affiliation_string":"College of Communication Engineering, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]},{"raw_affiliation_string":"College of Communication Engineering, Jilin University, Changchun, P. R. China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114909913","display_name":"Jian Wei","orcid":"https://orcid.org/0000-0002-7099-4448"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Wei","raw_affiliation_strings":["College of Communication Engineering, Jilin University, Changchun, China","College of Communication Engineering, Jilin University, Changchun, P. R. China"],"affiliations":[{"raw_affiliation_string":"College of Communication Engineering, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]},{"raw_affiliation_string":"College of Communication Engineering, Jilin University, Changchun, P. R. China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053490763","display_name":"Yan Zhao","orcid":"https://orcid.org/0000-0002-5319-0202"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Zhao","raw_affiliation_strings":["College of Communication Engineering, Jilin University, Changchun, China","College of Communication Engineering, Jilin University, Changchun, P. R. China"],"affiliations":[{"raw_affiliation_string":"College of Communication Engineering, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]},{"raw_affiliation_string":"College of Communication Engineering, Jilin University, Changchun, P. R. China","institution_ids":["https://openalex.org/I194450716"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5043474250"],"corresponding_institution_ids":["https://openalex.org/I194450716"],"apc_list":null,"apc_paid":null,"fwci":0.7895,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70880147,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"34","issue":"10","first_page":"9264","last_page":"9280"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9915000200271606,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9915000200271606,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.986299991607666,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9793000221252441,"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":0.5813437104225159},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.511737585067749},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43455666303634644},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.370136022567749},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35361653566360474}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5813437104225159},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.511737585067749},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43455666303634644},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.370136022567749},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35361653566360474}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2024.3395447","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3395447","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G227027932","display_name":null,"funder_award_id":"61631009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3670512485","display_name":null,"funder_award_id":"62271226","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6532663","display_name":null,"funder_award_id":"20210201027GX","funder_id":"https://openalex.org/F4320334012","funder_display_name":"Science and Technology Development Plan of Shandong Province"},{"id":"https://openalex.org/G6757761980","display_name":null,"funder_award_id":"20220101104JC","funder_id":"https://openalex.org/F4320334012","funder_display_name":"Science and Technology Development Plan of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334012","display_name":"Science and Technology Development Plan of Shandong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W1776042733","https://openalex.org/W1901129140","https://openalex.org/W2085905957","https://openalex.org/W2116361875","https://openalex.org/W2137313943","https://openalex.org/W2165981022","https://openalex.org/W2197540850","https://openalex.org/W2347125909","https://openalex.org/W2471962767","https://openalex.org/W2473253094","https://openalex.org/W2551108972","https://openalex.org/W2596303892","https://openalex.org/W2744570394","https://openalex.org/W2804619907","https://openalex.org/W2949657144","https://openalex.org/W2955639361","https://openalex.org/W2962785568","https://openalex.org/W2962793285","https://openalex.org/W2963926543","https://openalex.org/W2964288609","https://openalex.org/W3034798648","https://openalex.org/W3035524985","https://openalex.org/W3081167590","https://openalex.org/W3108973446","https://openalex.org/W3109585842","https://openalex.org/W3172568571","https://openalex.org/W3174752334","https://openalex.org/W3176368002","https://openalex.org/W3177583232","https://openalex.org/W3186630079","https://openalex.org/W3202995573","https://openalex.org/W3203257492","https://openalex.org/W3203570626","https://openalex.org/W3203610921","https://openalex.org/W3204859697","https://openalex.org/W3216476011","https://openalex.org/W4206579903","https://openalex.org/W4210675215","https://openalex.org/W4214502182","https://openalex.org/W4214520160","https://openalex.org/W4214564845","https://openalex.org/W4214731463","https://openalex.org/W4221151978","https://openalex.org/W4312259872","https://openalex.org/W4312280420","https://openalex.org/W4312708649","https://openalex.org/W4312969460","https://openalex.org/W4312970120","https://openalex.org/W4313031684","https://openalex.org/W4313154783","https://openalex.org/W4313196659","https://openalex.org/W4319996506","https://openalex.org/W4377192430","https://openalex.org/W4385318467","https://openalex.org/W4385373773","https://openalex.org/W4385491339","https://openalex.org/W4386065515","https://openalex.org/W4386065570","https://openalex.org/W4386076472","https://openalex.org/W4386133969","https://openalex.org/W4390872170","https://openalex.org/W4390874575","https://openalex.org/W6791353385","https://openalex.org/W6839182500","https://openalex.org/W6843813467","https://openalex.org/W6852435183","https://openalex.org/W6855379999"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4391375266","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2051487156","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2142036596","https://openalex.org/W2072657027"],"abstract_inverted_index":{"Novel":[0],"view":[1,36,46,91,123,223,231,270],"synthesis":[2,37,92,232,271],"from":[3,154],"existing":[4,117],"inputs":[5],"remains":[6],"a":[7,20,88,106,143,175,211,229],"research":[8],"focus":[9],"in":[10,220,263],"computer":[11],"vision.":[12],"Predicting":[13],"views":[14,24],"becomes":[15],"more":[16],"challenging":[17],"when":[18],"only":[19],"limited":[21],"number":[22],"of":[23,116,132,170],"are":[25,164],"available.":[26],"This":[27],"challenge":[28],"is":[29,67,146,179,214,238],"commonly":[30],"referred":[31],"to":[32,100,109,148,166,181,202,216,224,240],"as":[33,49],"the":[34,114,140,158,161,168,171,208,245,254],"few-shot":[35,45,90,118,269],"problem.":[38],"Recently,":[39],"various":[40,251],"strategies":[41],"have":[42],"emerged":[43],"for":[44],"synthesis,":[47],"such":[48],"transfer":[50,58],"learning,":[51],"depth":[52,65,71,102,111,184,199,204,236],"supervision,":[53],"and":[54,73,105,127,137,174,248,265],"regularization":[55,74,99,194],"constraints.":[56,206],"However,":[57],"learning":[59],"relies":[60],"on":[61,198,250],"massive":[62],"scene":[63,152],"data,":[64],"supervision":[66],"affected":[68],"by":[69],"input":[70,172],"quality,":[72],"causes":[75],"increased":[76],"computational":[77],"costs":[78],"or":[79],"impaired":[80],"generalization.":[81],"To":[82,186],"address":[83],"these":[84],"issues,":[85],"we":[86,191],"propose":[87,192],"new":[89],"framework":[93],"called":[94],"FewarNet":[95,130],"that":[96,234],"introduces":[97],"trend":[98,193],"leverage":[101],"structural":[103,205],"features":[104],"warping":[107,159,169,177],"loss":[108,178],"supervise":[110],"estimation,":[112],"possessing":[113],"advantages":[115],"strategies,":[119],"enabling":[120],"high-quality":[121],"novel":[122,226],"prediction":[124,189],"with":[125],"generalization":[126,249],"efficiency.":[128,242],"Specifically,":[129],"consists":[131],"three":[133],"stages:":[134],"fusion,":[135],"warping,":[136],"rectification.":[138],"In":[139,157,207],"fusion":[141,144],"stage,":[142,160,210],"network":[145,213],"introduced":[147,215],"estimate":[149],"depths":[150,163],"using":[151],"priors":[153],"coarse":[155],"depths.":[156],"predicted":[162],"used":[165],"guide":[167,183],"views,":[173],"distance-weighted":[176],"proposed":[180],"correctly":[182],"estimation.":[185],"further":[187],"improve":[188,241],"accuracy,":[190],"which":[195],"imposes":[196],"penalties":[197],"variation":[200],"trends":[201],"provide":[203],"rectification":[209,212],"refine":[217],"occluded":[218],"regions":[219],"each":[221],"warped":[222],"generate":[225],"views.":[227],"Additionally,":[228],"rapid":[230],"strategy":[233],"leverages":[235],"interpolation":[237],"designed":[239],"We":[243],"validate":[244],"method\u2019s":[246],"effectiveness":[247],"datasets.":[252],"Given":[253],"same":[255],"sparse":[256],"inputs,":[257],"our":[258],"method":[259],"demonstrates":[260],"superior":[261],"performance":[262],"quality":[264],"efficiency":[266],"over":[267],"state-of-the-art":[268],"methods.":[272]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
