{"id":"https://openalex.org/W4309345158","doi":"https://doi.org/10.1109/smc53654.2022.9945244","title":"An Improved Novel View Synthesis Approach Based on Feature Fusion and Channel Attention","display_name":"An Improved Novel View Synthesis Approach Based on Feature Fusion and Channel Attention","publication_year":2022,"publication_date":"2022-10-09","ids":{"openalex":"https://openalex.org/W4309345158","doi":"https://doi.org/10.1109/smc53654.2022.9945244"},"language":"en","primary_location":{"id":"doi:10.1109/smc53654.2022.9945244","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc53654.2022.9945244","pdf_url":null,"source":{"id":"https://openalex.org/S4363607746","display_name":"2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5101867733","display_name":"Lei Jiang","orcid":"https://orcid.org/0000-0002-7478-646X"},"institutions":[{"id":"https://openalex.org/I143804889","display_name":"Loughborough University","ror":"https://ror.org/04vg4w365","country_code":"GB","type":"education","lineage":["https://openalex.org/I143804889"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Lei Jiang","raw_affiliation_strings":["Loughborough University,Department of Computer Science,U.K","Department of Computer Science, Loughborough University, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Loughborough University,Department of Computer Science,U.K","institution_ids":["https://openalex.org/I143804889"]},{"raw_affiliation_string":"Department of Computer Science, Loughborough University, U.K","institution_ids":["https://openalex.org/I143804889"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105462955","display_name":"Gerald Schaefer","orcid":"https://orcid.org/0000-0003-1292-7674"},"institutions":[{"id":"https://openalex.org/I143804889","display_name":"Loughborough University","ror":"https://ror.org/04vg4w365","country_code":"GB","type":"education","lineage":["https://openalex.org/I143804889"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Gerald Schaefer","raw_affiliation_strings":["Loughborough University,Department of Computer Science,U.K","Department of Computer Science, Loughborough University, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Loughborough University,Department of Computer Science,U.K","institution_ids":["https://openalex.org/I143804889"]},{"raw_affiliation_string":"Department of Computer Science, Loughborough University, U.K","institution_ids":["https://openalex.org/I143804889"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014654309","display_name":"Qinggang Meng","orcid":"https://orcid.org/0000-0002-9483-5724"},"institutions":[{"id":"https://openalex.org/I143804889","display_name":"Loughborough University","ror":"https://ror.org/04vg4w365","country_code":"GB","type":"education","lineage":["https://openalex.org/I143804889"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Qinggang Meng","raw_affiliation_strings":["Loughborough University,Department of Computer Science,U.K","Department of Computer Science, Loughborough University, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Loughborough University,Department of Computer Science,U.K","institution_ids":["https://openalex.org/I143804889"]},{"raw_affiliation_string":"Department of Computer Science, Loughborough University, U.K","institution_ids":["https://openalex.org/I143804889"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I143804889"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9994999766349792,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994000196456909,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7670911550521851},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7596672773361206},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7577800154685974},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6361774206161499},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6343725323677063},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6265408992767334},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6134647130966187},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5992318391799927},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4838603734970093},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.4675273895263672},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.44721463322639465},{"id":"https://openalex.org/keywords/view-synthesis","display_name":"View synthesis","score":0.42539194226264954},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4179888963699341},{"id":"https://openalex.org/keywords/image-synthesis","display_name":"Image synthesis","score":0.4120837152004242},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2981482148170471}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7670911550521851},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7596672773361206},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7577800154685974},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6361774206161499},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6343725323677063},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6265408992767334},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6134647130966187},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5992318391799927},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4838603734970093},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.4675273895263672},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.44721463322639465},{"id":"https://openalex.org/C2776449333","wikidata":"https://www.wikidata.org/wiki/Q7928781","display_name":"View synthesis","level":3,"score":0.42539194226264954},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4179888963699341},{"id":"https://openalex.org/C2989087649","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Image synthesis","level":3,"score":0.4120837152004242},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2981482148170471},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc53654.2022.9945244","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc53654.2022.9945244","pdf_url":null,"source":{"id":"https://openalex.org/S4363607746","display_name":"2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2067132795","https://openalex.org/W2115579991","https://openalex.org/W2495603374","https://openalex.org/W2752782242","https://openalex.org/W2895191479","https://openalex.org/W2963488291","https://openalex.org/W2963749150","https://openalex.org/W2972353851","https://openalex.org/W2982966540","https://openalex.org/W2985299701","https://openalex.org/W2990256309","https://openalex.org/W3034528136","https://openalex.org/W3109585842","https://openalex.org/W3111114371","https://openalex.org/W3119361882","https://openalex.org/W3127272370","https://openalex.org/W3177583232","https://openalex.org/W4225324715","https://openalex.org/W4394671432","https://openalex.org/W6631190155","https://openalex.org/W6687484953","https://openalex.org/W6767467511","https://openalex.org/W6783212619"],"related_works":["https://openalex.org/W2539134624","https://openalex.org/W2611780867","https://openalex.org/W4200370824","https://openalex.org/W2811293692","https://openalex.org/W1495814089","https://openalex.org/W3206964005","https://openalex.org/W3200694817","https://openalex.org/W1969377463","https://openalex.org/W3208875331","https://openalex.org/W2801494623"],"abstract_inverted_index":{"Single":[0],"image":[1,44,75,99,110,123,140],"novel":[2,29,86],"view":[3,30,58,87,127,186],"synthesis":[4,88,187],"allows":[5],"the":[6,25,37,42,46,56,105,121,125,133,137,162],"generation":[7,20],"of":[8,24,120],"target":[9,43,67,126,150],"images":[10,39,54],"with":[11,32],"different":[12],"views":[13],"from":[14,52,93,164],"a":[15,65,72,83,97],"single":[16,73],"input":[17,38,53,74,95,122,165],"image.":[18],"Pixel":[19],"methods":[21,34],"are":[22,141,172],"one":[23],"main":[26],"approaches":[27],"for":[28],"synthesis,":[31],"previous":[33],"typically":[35],"using":[36],"to":[40,63,100,156],"infer":[41],"in":[45,55,104],"new":[47,106],"view.":[48,107],"However,":[49],"only":[50,71],"features":[51,92,163],"source":[57],"might":[59],"not":[60,142],"be":[61,146],"sufficient":[62],"generate":[64,102],"good":[66],"image,":[68,168],"especially":[69],"when":[70,148],"is":[76,112],"available.":[77],"In":[78],"this":[79],"paper,":[80],"we":[81],"present":[82],"deep":[84],"learning-based":[85],"approach":[89],"that":[90,181],"fuses":[91],"an":[94,113,129],"and":[96,136,155,166,189],"warped":[98,109,139,167],"collaboratively":[101],"pixels":[103,119],"The":[108],"here":[111],"intermediate":[114],"output":[115],"generated":[116,138],"by":[117],"projecting":[118],"onto":[124],"via":[128],"estimated":[130,134],"depth.":[131],"Since":[132],"depth":[135],"perfect,":[143],"errors":[144],"will":[145],"introduced":[147],"generating":[149],"pixels.":[151],"To":[152],"alleviate":[153],"these":[154],"ensure":[157],"better":[158],"channel":[159,169],"information":[160],"between":[161],"attention":[170],"blocks":[171],"employed.":[173],"Experimental":[174],"results":[175,188],"on":[176],"standard":[177],"benchmark":[178],"datasets":[179],"show":[180],"our":[182],"method":[183],"produces":[184],"excellent":[185],"outperforms":[190],"other":[191],"state-of-the-art":[192],"methods.":[193]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
