{"id":"https://openalex.org/W7163218301","doi":"https://doi.org/10.48550/arxiv.2606.01819","title":"Hist2Style: Histogram-Guided Stylization with Bilateral Grids","display_name":"Hist2Style: Histogram-Guided Stylization with Bilateral Grids","publication_year":2026,"publication_date":"2026-06-01","ids":{"openalex":"https://openalex.org/W7163218301","doi":"https://doi.org/10.48550/arxiv.2606.01819"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.01819","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.01819","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.2606.01819","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062382140","display_name":"Dekel Galor","orcid":"https://orcid.org/0000-0001-9243-6925"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Galor, Dekel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5095886726","display_name":"Adam Pikielny","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pikielny, Adam","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066625739","display_name":"Zhoutong Zhang","orcid":"https://orcid.org/0000-0002-8144-1611"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Zhoutong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137707631","display_name":"Ke Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Ke","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137690744","display_name":"Laura Waller","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Waller, Laura","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137676139","display_name":"Jiawen Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Jiawen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5042884826","display_name":"Ilya Chugunov","orcid":"https://orcid.org/0000-0002-9136-3303"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chugunov, Ilya","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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9266999959945679,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9266999959945679,"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":0.015699999406933784,"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/T12650","display_name":"Aesthetic Perception and Analysis","score":0.007899999618530273,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.5751000046730042},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5565999746322632},{"id":"https://openalex.org/keywords/tone","display_name":"Tone (literature)","score":0.5009999871253967},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4691999852657318},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.4047999978065491},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.34610000252723694},{"id":"https://openalex.org/keywords/high-fidelity","display_name":"High fidelity","score":0.32820001244544983},{"id":"https://openalex.org/keywords/image-manipulation","display_name":"Image manipulation","score":0.31049999594688416}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7053999900817871},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6355999708175659},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.5751000046730042},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5594000220298767},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5565999746322632},{"id":"https://openalex.org/C2780583480","wikidata":"https://www.wikidata.org/wiki/Q1366327","display_name":"Tone (literature)","level":2,"score":0.5009999871253967},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4691999852657318},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.4047999978065491},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.36730000376701355},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.34610000252723694},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.32820001244544983},{"id":"https://openalex.org/C2987933465","wikidata":"https://www.wikidata.org/wiki/Q141130","display_name":"Image manipulation","level":3,"score":0.31049999594688416},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.30550000071525574},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.29409998655319214},{"id":"https://openalex.org/C8641274","wikidata":"https://www.wikidata.org/wiki/Q1030958","display_name":"Tone mapping","level":4,"score":0.29260000586509705},{"id":"https://openalex.org/C2776674983","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image editing","level":3,"score":0.29120001196861267},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.2842999994754791},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.2797999978065491},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.26980000734329224},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.25440001487731934}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.01819","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.01819","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.2606.01819","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.01819","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Photorealistic":[0],"style":[1,18,123,134],"transfer":[2],"aims":[3],"to":[4,14,77,125],"match":[5],"the":[6,22,27,122,132,137],"color":[7,112,139,159],"and":[8,24,49,106,150,160],"tone":[9,161],"of":[10,16,26,39,121],"an":[11,127],"input":[12],"image":[13,33,89],"that":[15,70],"a":[17,63,87,93,99,118],"target":[19,124,138],"while":[20],"preserving":[21],"content":[23,144],"details":[25],"original":[28],"scene.":[29],"Although":[30],"existing":[31],"large":[32,88,100],"models":[34],"can":[35],"facilitate":[36],"these":[37],"kinds":[38],"appearance":[40],"edits,":[41],"their":[42],"high":[43],"computational":[44],"demands,":[45],"potential":[46],"for":[47,56,66,130],"hallucinations,":[48,149],"limited":[50],"user":[51],"control":[52],"make":[53],"them":[54],"unsuitable":[55],"high-resolution,":[57],"real-time":[58],"workflows.":[59],"We":[60],"introduce":[61],"Hist2Style,":[62],"bilateral-grid":[64],"formulation":[65],"fast,":[67],"edge-aware":[68],"stylization":[69,155],"preserves":[71],"visual":[72],"fidelity":[73],"by":[74,96,135,146],"constraining":[75],"operations":[76],"locally":[78],"affine":[79],"transforms":[80],"in":[81],"bilateral":[82],"space.":[83],"Our":[84],"model":[85,91],"distills":[86],"editing":[90],"into":[92],"lightweight":[94],"network":[95,115],"training":[97],"on":[98,117],"supervised":[101],"corpus":[102],"generated":[103],"with":[104,156],"language":[105],"vision-language":[107],"models,":[108],"targeting":[109],"spatially":[110],"varying":[111],"edits.":[113],"The":[114],"conditions":[116],"histogram-based":[119],"embedding":[120],"provide":[126],"interpretable":[128],"interface":[129],"adjusting":[131],"output":[133],"modifying":[136],"distribution.":[140],"Overall,":[141],"Hist2Style":[142],"maintains":[143],"structure":[145],"construction,":[147],"avoids":[148],"supports":[151],"real-time,":[152],"high-resolution":[153],"photorealistic":[154],"interactive":[157],"user-controllable":[158],"adjustments.":[162]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-03T00:00:00"}