{"id":"https://openalex.org/W7160543579","doi":"https://doi.org/10.48550/arxiv.2605.04581","title":"GTF: Omnidirectional EPI Transformer for Light Field Super-Resolution","display_name":"GTF: Omnidirectional EPI Transformer for Light Field Super-Resolution","publication_year":2026,"publication_date":"2026-05-06","ids":{"openalex":"https://openalex.org/W7160543579","doi":"https://doi.org/10.48550/arxiv.2605.04581"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.04581","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.04581","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.04581","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135620395","display_name":"Kunyu Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Kunyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135598860","display_name":"Fei Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Fei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135557131","display_name":"Lichao Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Lichao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135585284","display_name":"Junjie Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Junjie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135625900","display_name":"Bihong Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Bihong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"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":0.4715999960899353,"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":0.4715999960899353,"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":0.3003999888896942,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.08500000089406967,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/epipolar-geometry","display_name":"Epipolar geometry","score":0.7712000012397766},{"id":"https://openalex.org/keywords/diagonal","display_name":"Diagonal","score":0.5909000039100647},{"id":"https://openalex.org/keywords/light-field","display_name":"Light field","score":0.5291000008583069},{"id":"https://openalex.org/keywords/omnidirectional-antenna","display_name":"Omnidirectional antenna","score":0.4885999858379364},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4180000126361847},{"id":"https://openalex.org/keywords/image-warping","display_name":"Image warping","score":0.35510000586509705},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.3549000024795532},{"id":"https://openalex.org/keywords/near-and-far-field","display_name":"Near and far field","score":0.34940001368522644},{"id":"https://openalex.org/keywords/field-of-view","display_name":"Field of view","score":0.3400000035762787}],"concepts":[{"id":"https://openalex.org/C23379248","wikidata":"https://www.wikidata.org/wiki/Q200904","display_name":"Epipolar geometry","level":3,"score":0.7712000012397766},{"id":"https://openalex.org/C130367717","wikidata":"https://www.wikidata.org/wiki/Q189791","display_name":"Diagonal","level":2,"score":0.5909000039100647},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.548799991607666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5343000292778015},{"id":"https://openalex.org/C48983235","wikidata":"https://www.wikidata.org/wiki/Q593161","display_name":"Light field","level":2,"score":0.5291000008583069},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49900001287460327},{"id":"https://openalex.org/C24027999","wikidata":"https://www.wikidata.org/wiki/Q2176348","display_name":"Omnidirectional antenna","level":3,"score":0.4885999858379364},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.4577000141143799},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4180000126361847},{"id":"https://openalex.org/C157202957","wikidata":"https://www.wikidata.org/wiki/Q1659609","display_name":"Image warping","level":2,"score":0.35510000586509705},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.3549000024795532},{"id":"https://openalex.org/C25227671","wikidata":"https://www.wikidata.org/wiki/Q13405516","display_name":"Near and far field","level":2,"score":0.34940001368522644},{"id":"https://openalex.org/C150627866","wikidata":"https://www.wikidata.org/wiki/Q1076893","display_name":"Field of view","level":2,"score":0.3400000035762787},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.33149999380111694},{"id":"https://openalex.org/C120515352","wikidata":"https://www.wikidata.org/wiki/Q2564580","display_name":"Image plane","level":3,"score":0.3179999887943268},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.301800012588501},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.29660001397132874},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2962999939918518},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.29100000858306885},{"id":"https://openalex.org/C182124507","wikidata":"https://www.wikidata.org/wiki/Q166154","display_name":"Line segment","level":2,"score":0.27459999918937683},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.27379998564720154},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.2637999951839447},{"id":"https://openalex.org/C2776481522","wikidata":"https://www.wikidata.org/wiki/Q40218","display_name":"Orbiter","level":2,"score":0.2630999982357025},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2615000009536743},{"id":"https://openalex.org/C182610534","wikidata":"https://www.wikidata.org/wiki/Q633620","display_name":"Ray","level":2,"score":0.2599000036716461},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25870001316070557},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.25690001249313354},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.25679999589920044}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.04581","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.04581","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.04581","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.04581","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Light":[0,151],"field":[1],"(LF)":[2],"image":[3],"super-resolution":[4],"benefits":[5],"from":[6],"Epipolar":[7],"Plane":[8],"Images":[9],"(EPIs),":[10],"whose":[11],"line":[12],"slopes":[13],"explicitly":[14,43],"encode":[15],"disparity.":[16],"However,":[17],"existing":[18],"Transformer-based":[19],"LF":[20,75,102],"SR":[21,103],"methods":[22],"mainly":[23],"attend":[24],"to":[25,72],"horizontal":[26],"and":[27,48,67,108,118,124,144,163,166,173,186],"vertical":[28],"EPIs,":[29],"leaving":[30],"diagonal":[31,181],"epipolar":[32],"geometry":[33],"underexplored.":[34],"We":[35],"present":[36],"GTF,":[37],"an":[38],"omnidirectional":[39],"EPI":[40,59,182],"Transformer":[41],"that":[42],"models":[44],"horizontal,":[45],"vertical,":[46],"45-degree,":[47],"135-degree":[49],"EPIs":[50],"within":[51],"a":[52,68,91],"unified":[53],"reconstruction":[54],"framework.":[55],"GTF":[56,85,111],"combines":[57],"directional":[58,65,184],"processing,":[60],"MacPI-based":[61],"prior":[62],"injection,":[63],"adaptive":[64],"fusion,":[66,185],"topology-preserving":[69],"feed-forward":[70],"network":[71],"better":[73],"exploit":[74],"geometry.":[76],"For":[77],"the":[78,87,96,131,148,178,187],"NTIRE":[79,132,149],"2026":[80,133,150],"fidelity":[81],"tracks,":[82],"we":[83],"use":[84],"as":[86],"main":[88],"model,":[89],"while":[90],"lightweight":[92,188],"GTF-Tiny":[93,136],"variant":[94],"targets":[95],"efficiency":[97,134],"track.":[98],"On":[99],"five":[100],"standard":[101],"benchmarks":[104],"covering":[105],"both":[106],"real-captured":[107],"synthetic":[109],"scenes,":[110],"reaches":[112],"32.78":[113],"dB":[114,139],"without":[115],"inference-time":[116],"enhancement,":[117],"stronger":[119],"inference":[120,174],"settings":[121],"with":[122,140],"EPSW":[123],"test-time":[125],"augmentation":[126],"further":[127,176],"improve":[128],"performance.":[129],"Under":[130],"constraint,":[135],"attains":[137],"32.57":[138],"only":[141],"0.915M":[142],"parameters":[143],"19.81":[145],"GFLOPs.":[146],"In":[147],"Field":[152],"Image":[153],"Super-Resolution":[154],"Challenge,":[155],"our":[156],"submissions":[157],"rank":[158],"3rd":[159],"on":[160,168],"Track":[161,164,169],"1":[162],"3":[165],"4th":[167],"2.":[170],"Architecture-evolution,":[171],"channel-width,":[172],"analyses":[175],"support":[177],"effectiveness":[179],"of":[180],"modeling,":[183],"design.":[189]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-08T00:00:00"}
