{"id":"https://openalex.org/W7164809558","doi":"https://doi.org/10.48550/arxiv.2606.14035","title":"Toward 360-Degree Indoor Panorama Editing via Tuning-Free Diffusion Model with Refocusing Cross-Attention","display_name":"Toward 360-Degree Indoor Panorama Editing via Tuning-Free Diffusion Model with Refocusing Cross-Attention","publication_year":2026,"publication_date":"2026-06-12","ids":{"openalex":"https://openalex.org/W7164809558","doi":"https://doi.org/10.48550/arxiv.2606.14035"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.14035","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.14035","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.2606.14035","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5138633701","display_name":"Dinh-Khoi Vo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vo, Dinh-Khoi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093427588","display_name":"Nhut-Thanh Le-Hinh","orcid":"https://orcid.org/0009-0001-7199-3180"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Le-Hinh, Nhut-Thanh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008429525","display_name":"Viet-Tham Huynh","orcid":"https://orcid.org/0000-0002-8537-1331"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huynh, Viet-Tham","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122958485","display_name":"Tam V. Nguyen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nguyen, Tam V.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138639672","display_name":"Minh-Triet Tran","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tran, Minh-Triet","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5062359795","display_name":"Trung-Nghia Le","orcid":"https://orcid.org/0000-0002-7363-2610"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Le, Trung-Nghia","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":0.3521000146865845,"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":0.3521000146865845,"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":0.065700002014637,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.06319999694824219,"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/panorama","display_name":"Panorama","score":0.9283999800682068},{"id":"https://openalex.org/keywords/usability","display_name":"Usability","score":0.5914000272750854},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5419999957084656},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5297999978065491},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.5163999795913696},{"id":"https://openalex.org/keywords/image-editing","display_name":"Image editing","score":0.5074999928474426},{"id":"https://openalex.org/keywords/image-stitching","display_name":"Image stitching","score":0.4675000011920929},{"id":"https://openalex.org/keywords/active-appearance-model","display_name":"Active appearance model","score":0.40709999203681946}],"concepts":[{"id":"https://openalex.org/C2780580889","wikidata":"https://www.wikidata.org/wiki/Q41363","display_name":"Panorama","level":2,"score":0.9283999800682068},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8370000123977661},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5928999781608582},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.5914000272750854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5461999773979187},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5419999957084656},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5297999978065491},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.5163999795913696},{"id":"https://openalex.org/C2776674983","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image editing","level":3,"score":0.5074999928474426},{"id":"https://openalex.org/C29081049","wikidata":"https://www.wikidata.org/wiki/Q1364242","display_name":"Image stitching","level":2,"score":0.4675000011920929},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4481000006198883},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.40709999203681946},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.382099986076355},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.37630000710487366},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.36899998784065247},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.36410000920295715},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.3343000113964081},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.3206999897956848},{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.3021000027656555},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.30059999227523804},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2824000120162964},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.2685000002384186},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.26030001044273376}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.14035","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.14035","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.2606.14035","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.14035","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":{"Zero-shot":[0],"text-guided":[1],"diffusion":[2],"has":[3],"significantly":[4],"advanced":[5],"image":[6,63],"editing;":[7],"however,":[8],"its":[9,139],"practical":[10],"usability":[11],"remains":[12],"constrained":[13],"by":[14,40],"three":[15],"persistent":[16],"challenges:":[17],"prompt":[18,23],"brittleness":[19],"that":[20,27,166],"requires":[21],"meticulous":[22],"engineering,":[24],"spillover":[25],"edits":[26,119],"unintentionally":[28],"affect":[29],"non-target":[30],"regions,":[31],"and":[32,61,101,114,137,157,175,182],"failures":[33],"on":[34,66,147],"small":[35],"or":[36,77],"cluttered":[37],"objects":[38],"caused":[39],"limited":[41],"fine-grained":[42],"supervision":[43],"in":[44,124,172],"training":[45],"data.":[46],"We":[47,128],"propose":[48],"FocusDiff":[49,80,131,167],"(Target-Aware":[50],"Refocusing":[51],"for":[52,59],"Tuning-Free":[53],"Diffusion":[54],"Editing),":[55],"a":[56,70,125],"tuning-free":[57],"framework":[58],"precise":[60],"region-specific":[62],"manipulation":[64],"based":[65],"refocusing":[67],"cross-attention.":[68],"Given":[69],"target":[71],"region":[72,93],"obtained":[73],"through":[74],"automated":[75],"segmentation":[76],"manual":[78],"selection,":[79],"applies":[81],"selective":[82],"blurring":[83],"to":[84,87,103,132],"non-edit":[85],"areas":[86],"guide":[88],"attention":[89],"toward":[90],"the":[91,97,104],"masked":[92],"while":[94],"accurately":[95],"transferring":[96],"object's":[98],"identity,":[99],"structure,":[100],"appearance":[102],"edited":[105],"output.":[106],"Integrated":[107],"context-preserving":[108],"modules":[109],"further":[110],"ensure":[111],"background":[112,176],"fidelity":[113],"global":[115],"coherence,":[116],"enabling":[117],"accurate":[118],"from":[120],"simple":[121],"text":[122],"prompts":[123],"single":[126],"pass.":[127],"also":[129],"extend":[130],"360-degree":[133],"indoor":[134],"panorama":[135],"editing":[136,150],"demonstrate":[138],"effectiveness":[140],"within":[141],"virtual":[142],"reality":[143],"environments.":[144],"Extensive":[145],"experiments":[146],"our":[148],"localized":[149],"benchmark":[151],"LIMB,":[152],"comprising":[153],"30":[154],"multi-object":[155],"images":[156],"100":[158],"annotated":[159],"examples":[160],"including":[161],"challenging":[162],"small-object":[163],"cases,":[164],"show":[165],"outperforms":[168],"existing":[169],"zero-shot":[170],"editors":[171],"text-image":[173],"alignment":[174],"preservation,":[177],"achieving":[178],"superior":[179],"precision,":[180],"photorealism,":[181],"usability.":[183],"The":[184],"project":[185],"page":[186],"is":[187],"available":[188],"at":[189],"https://vdkhoi20.github.io/FocusDiff.":[190]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-16T00:00:00"}