{"id":"https://openalex.org/W7133208036","doi":"https://doi.org/10.48550/arxiv.2602.24096","title":"DiffusionHarmonizer: Bridging Neural Reconstruction and Photorealistic Simulation with Online Diffusion Enhancer","display_name":"DiffusionHarmonizer: Bridging Neural Reconstruction and Photorealistic Simulation with Online Diffusion Enhancer","publication_year":2026,"publication_date":"2026-02-27","ids":{"openalex":"https://openalex.org/W7133208036","doi":"https://doi.org/10.48550/arxiv.2602.24096"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2602.24096","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.24096","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2602.24096","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5127802492","display_name":"Yuxuan Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zhang, Yuxuan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127779048","display_name":"Katar\u00edna T\u00f3thov\u00e1","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"T\u00f3thov\u00e1, Katar\u00edna","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127863048","display_name":"Zian Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Zian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026664609","display_name":"Kangxue Yin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yin, Kangxue","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127811243","display_name":"Haithem Turki","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Turki, Haithem","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064838766","display_name":"Riccardo de Lutio","orcid":"https://orcid.org/0000-0002-2644-3876"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"de Lutio, Riccardo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127870724","display_name":"Yen-Yu Chang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chang, Yen-Yu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5098954252","display_name":"Or Litany","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Litany, Or","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070642269","display_name":"Sanja Fidler","orcid":"https://orcid.org/0000-0003-1040-3260"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fidler, Sanja","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5123917104","display_name":"Zan Gojcic","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gojcic, Zan","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5127802492"],"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":0.8241000175476074,"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":0.8241000175476074,"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":0.03440000116825104,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.017500000074505806,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/bridging","display_name":"Bridging (networking)","score":0.6420000195503235},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5641000270843506},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.49300000071525574},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.48069998621940613},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.461899995803833},{"id":"https://openalex.org/keywords/high-fidelity","display_name":"High fidelity","score":0.43959999084472656},{"id":"https://openalex.org/keywords/graphics-pipeline","display_name":"Graphics pipeline","score":0.3919000029563904},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.38499999046325684}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8122000098228455},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.6420000195503235},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5641000270843506},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5267999768257141},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49729999899864197},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.49300000071525574},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.48069998621940613},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.461899995803833},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.43959999084472656},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3961000144481659},{"id":"https://openalex.org/C173552908","wikidata":"https://www.wikidata.org/wiki/Q1366289","display_name":"Graphics pipeline","level":4,"score":0.3919000029563904},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.38499999046325684},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.325300008058548},{"id":"https://openalex.org/C2778305236","wikidata":"https://www.wikidata.org/wiki/Q178570","display_name":"OpenGL","level":3,"score":0.3172000050544739},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.31290000677108765},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3050000071525574},{"id":"https://openalex.org/C2778090530","wikidata":"https://www.wikidata.org/wiki/Q2523931","display_name":"Viewport","level":2,"score":0.2924000024795532},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2775000035762787},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.27300000190734863},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.26170000433921814},{"id":"https://openalex.org/C37789001","wikidata":"https://www.wikidata.org/wiki/Q782543","display_name":"Graphical user interface","level":2,"score":0.2612999975681305},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.26089999079704285}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2602.24096","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.24096","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2602.24096","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.24096","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"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":{"Simulation":[0],"is":[1,17,112,118,143,163],"essential":[2],"to":[3,68,139],"the":[4],"development":[5],"and":[6,39,48,66,158,175],"evaluation":[7],"of":[8,30,128],"autonomous":[9],"robots":[10],"such":[11,45,98],"as":[12,19,23,46],"self-driving":[13],"vehicles.":[14],"Neural":[15],"reconstruction":[16],"emerging":[18],"a":[20,27,113,121,134,144,164],"promising":[21],"solution":[22],"it":[24,141],"enables":[25],"simulating":[26],"wide":[28],"variety":[29],"scenarios":[31],"from":[32,79,97,120],"real-world":[33],"data":[34,146],"alone":[35],"in":[36,130,172],"an":[37,89],"automated":[38],"scalable":[40,165],"way.":[41],"However,":[42],"while":[43,105],"methods":[44],"NeRF":[47],"3D":[49],"Gaussian":[50],"Splatting":[51],"can":[52],"produce":[53],"visually":[54],"compelling":[55],"results,":[56],"they":[57,76],"often":[58],"exhibit":[59],"artifacts":[60],"particularly":[61],"when":[62,75],"rendering":[63],"novel":[64],"views,":[65],"fail":[67],"realistically":[69],"integrate":[70],"inserted":[71],"dynamic":[72],"objects,":[73],"especially":[74],"were":[77],"captured":[78],"different":[80],"scenes.":[81],"To":[82],"overcome":[83],"these":[84],"limitations,":[85],"we":[86],"introduce":[87],"DiffusionHarmonizer,":[88],"online":[90,131],"generative":[91],"enhancement":[92],"framework":[93],"that":[94,117,149,167],"transforms":[95],"renderings":[96],"imperfect":[99],"scenes":[100],"into":[101],"temporally":[102],"consistent":[103],"outputs":[104],"improving":[106],"their":[107],"realism.":[108,160],"At":[109],"its":[110],"core":[111],"single-step":[114],"temporally-conditioned":[115],"enhancer":[116],"converted":[119],"pretrained":[122],"multi-step":[123],"image":[124],"diffusion":[125],"model,":[126],"capable":[127],"running":[129],"simulators":[132],"on":[133],"single":[135],"GPU.":[136],"The":[137,161],"key":[138],"training":[140],"effectively":[142],"custom":[145],"curation":[147],"pipeline":[148],"constructs":[150],"synthetic-real":[151],"pairs":[152],"emphasizing":[153],"appearance":[154],"harmonization,":[155],"artifact":[156],"correction,":[157],"lighting":[159],"result":[162],"system":[166],"significantly":[168],"elevates":[169],"simulation":[170],"fidelity":[171],"both":[173],"research":[174],"production":[176],"environments.":[177]},"counts_by_year":[],"updated_date":"2026-03-03T06:18:10.843953","created_date":"2026-03-03T00:00:00"}