{"id":"https://openalex.org/W7134268572","doi":"https://doi.org/10.48550/arxiv.2603.06200","title":"Adaptive Language-Aware Image Reflection Removal Network","display_name":"Adaptive Language-Aware Image Reflection Removal Network","publication_year":2026,"publication_date":"2026-03-06","ids":{"openalex":"https://openalex.org/W7134268572","doi":"https://doi.org/10.48550/arxiv.2603.06200"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.06200","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.06200","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":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.06200","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035081565","display_name":"Siyan Fang","orcid":"https://orcid.org/0000-0002-3762-0479"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Fang, Siyan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015905456","display_name":"Yuntao Wang","orcid":"https://orcid.org/0000-0001-5232-008X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yuntao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128569623","display_name":"Jinpu Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Jinpu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124938145","display_name":"Ziwen Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Ziwen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5128407273","display_name":"Yuehuan Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yuehuan","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5035081565"],"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/T11019","display_name":"Image Enhancement Techniques","score":0.7590000033378601,"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/T11019","display_name":"Image Enhancement Techniques","score":0.7590000033378601,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.06589999794960022,"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":0.014800000004470348,"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/reflection","display_name":"Reflection (computer programming)","score":0.7455000281333923},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5740000009536743},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5378999710083008},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5005999803543091},{"id":"https://openalex.org/keywords/language-identification","display_name":"Language identification","score":0.3628000020980835},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.3463999927043915},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3441999852657318}],"concepts":[{"id":"https://openalex.org/C65682993","wikidata":"https://www.wikidata.org/wiki/Q1056451","display_name":"Reflection (computer programming)","level":2,"score":0.7455000281333923},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7372000217437744},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5856999754905701},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5770000219345093},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5740000009536743},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5378999710083008},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5005999803543091},{"id":"https://openalex.org/C129792486","wikidata":"https://www.wikidata.org/wiki/Q1050419","display_name":"Language identification","level":3,"score":0.3628000020980835},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.3463999927043915},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3441999852657318},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.33379998803138733},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.30649998784065247},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.29739999771118164},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.27559998631477356},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.2667999863624573},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.25429999828338623}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.06200","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.06200","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":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.06200","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.06200","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":"article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5110355019569397,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Existing":[0],"image":[1,19,40,158],"reflection":[2,51,159],"removal":[3],"methods":[4,156],"struggle":[5],"to":[6,21,27,63,109,120],"handle":[7,121],"complex":[8,23,122,130],"reflections.":[9,24,123],"Accurate":[10],"language":[11,36,69,87,100,107,136],"descriptions":[12,37],"can":[13],"help":[14],"the":[15,18,39,47,58,83,93,97,126,140],"model":[16],"understand":[17],"content":[20,41,113],"remove":[22,64],"However,":[25],"due":[26],"blurred":[28],"and":[29,76,101,132,143,163],"distorted":[30],"interferences":[31],"in":[32],"reflected":[33],"images,":[34],"machine-generated":[35],"of":[38,49,86,135],"are":[42,165],"often":[43],"inaccurate,":[44],"which":[45],"harms":[46],"performance":[48,128],"language-guided":[50],"removal.":[52,160],"To":[53,124],"address":[54],"this,":[55],"we":[56,138],"propose":[57],"Adaptive":[59],"Language-Aware":[60],"Network":[61],"(ALANet)":[62],"reflections":[65,131],"even":[66],"with":[67],"inaccurate":[68],"inputs.":[70],"Specifically,":[71],"ALANet":[72,104,153],"integrates":[73],"both":[74],"filtering":[75,80],"optimization":[77,94],"strategies.":[78],"The":[79,161],"strategy":[81,95],"reduces":[82],"negative":[84],"effects":[85],"while":[88],"preserving":[89],"its":[90,118],"benefits,":[91],"whereas":[92],"enhances":[96],"alignment":[98],"between":[99],"visual":[102],"features.":[103],"also":[105],"utilizes":[106],"cues":[108],"decouple":[110],"specific":[111],"layer":[112],"from":[114],"feature":[115],"maps,":[116],"improving":[117],"ability":[119],"evaluate":[125],"model's":[127],"under":[129],"varying":[133],"levels":[134],"accuracy,":[137],"introduce":[139],"Complex":[141],"Reflection":[142],"Language":[144],"Accuracy":[145],"Variance":[146],"(CRLAV)":[147],"dataset.":[148],"Experimental":[149],"results":[150],"demonstrate":[151],"that":[152],"surpasses":[154],"state-of-the-art":[155],"for":[157],"code":[162],"dataset":[164],"available":[166],"at":[167],"https://github.com/fashyon/ALANet.":[168]},"counts_by_year":[],"updated_date":"2026-03-10T14:13:21.323994","created_date":"2026-03-10T00:00:00"}
