{"id":"https://openalex.org/W7140587936","doi":"https://doi.org/10.48550/arxiv.2603.24086","title":"LGTM: Training-Free Light-Guided Text-to-Image Diffusion Model via Initial Noise Manipulation","display_name":"LGTM: Training-Free Light-Guided Text-to-Image Diffusion Model via Initial Noise Manipulation","publication_year":2026,"publication_date":"2026-03-25","ids":{"openalex":"https://openalex.org/W7140587936","doi":"https://doi.org/10.48550/arxiv.2603.24086"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.24086","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.24086","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.2603.24086","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008003363","display_name":"Ryugo Morita","orcid":"https://orcid.org/0009-0007-6324-9291"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Morita, Ryugo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053202923","display_name":"Stanislav Frolov","orcid":"https://orcid.org/0000-0003-2700-5031"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Frolov, Stanislav","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069729032","display_name":"Brian B. Moser","orcid":"https://orcid.org/0000-0002-0290-7904"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Moser, Brian Bernhard","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130659872","display_name":"Ko Watanabe","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Watanabe, Ko","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041861318","display_name":"Riku Takahashi","orcid":"https://orcid.org/0009-0000-1126-0498"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Takahashi, Riku","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5130684213","display_name":"Andreas Dengel","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dengel, Andreas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"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":0.8271999955177307,"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":0.8271999955177307,"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/T12377","display_name":"Digital Humanities and Scholarship","score":0.021199999377131462,"subfield":{"id":"https://openalex.org/subfields/1208","display_name":"Literature and Literary Theory"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.019099999219179153,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.6721000075340271},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.621999979019165},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6154999732971191},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5708000063896179},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.5049999952316284},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.45190000534057617},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.4099000096321106},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.38589999079704285}],"concepts":[{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.6721000075340271},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6657000184059143},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.621999979019165},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6154999732971191},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5708000063896179},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5117999911308289},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5049999952316284},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.45190000534057617},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45179998874664307},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.4099000096321106},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.38589999079704285},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3447999954223633},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.33640000224113464},{"id":"https://openalex.org/C2776674983","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image editing","level":3,"score":0.3278999924659729},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.3043000102043152},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.3003000020980835},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.29010000824928284},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2874000072479248},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.2750999927520752},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2615000009536743},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.2597000002861023},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25780001282691956},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2558000087738037},{"id":"https://openalex.org/C76956256","wikidata":"https://www.wikidata.org/wiki/Q27610560","display_name":"Process modeling","level":3,"score":0.25209999084472656}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.24086","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.24086","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.2603.24086","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.24086","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Diffusion":[0,81],"models":[1,68,169],"have":[2,23],"demonstrated":[3],"high-quality":[4],"performance":[5],"in":[6,144],"conditional":[7],"text-to-image":[8],"generation,":[9,48],"particularly":[10],"with":[11,57,102,168],"structural":[12],"cues":[13],"such":[14],"as":[15],"edges,":[16],"layouts,":[17],"and":[18,27,60,69,105,151],"depth.":[19],"However,":[20],"lighting":[21,39,126,145],"conditions":[22],"received":[24],"limited":[25],"attention":[26],"remain":[28],"difficult":[29],"to":[30,66,98],"control":[31,127],"within":[32],"the":[33,90,95,114,132],"generative":[34],"process.":[35],"Existing":[36],"methods":[37],"handle":[38],"through":[40],"a":[41,76,110],"two-stage":[42],"pipeline":[43],"that":[44,119,138],"relights":[45],"images":[46],"after":[47],"which":[49,88],"is":[50],"inefficient.":[51],"Moreover,":[52],"they":[53],"rely":[54],"on":[55],"fine-tuning":[56,129],"large":[58],"datasets":[59],"heavy":[61],"computation,":[62],"limiting":[63],"their":[64],"adaptability":[65,173],"new":[67,157],"tasks.":[70],"To":[71],"address":[72],"this,":[73],"we":[74,117],"propose":[75],"novel":[77],"Training-Free":[78],"Light-Guided":[79],"Text-to-Image":[80],"Model":[82],"via":[83],"Initial":[84],"Noise":[85],"Manipulation":[86],"(LGTM),":[87],"manipulates":[89],"initial":[91],"latent":[92,115,122],"noise":[93],"of":[94,113],"diffusion":[96],"process":[97],"guide":[99],"image":[100,149],"generation":[101],"text":[103,152],"prompts":[104],"user-specified":[106],"light":[107,162],"directions.":[108],"Through":[109],"channel-wise":[111],"analysis":[112],"space,":[116],"find":[118],"selectively":[120],"manipulating":[121],"channels":[123],"enables":[124],"fine-grained":[125],"without":[128],"or":[130],"modifying":[131],"pre-trained":[133],"model.":[134],"Extensive":[135],"experiments":[136],"show":[137],"our":[139],"method":[140],"surpasses":[141],"prompt-based":[142],"baselines":[143],"consistency,":[146],"while":[147],"preserving":[148],"quality":[150],"alignment.":[153],"This":[154],"approach":[155],"introduces":[156],"possibilities":[158],"for":[159],"dynamic,":[160],"user-guided":[161],"control.":[163],"Furthermore,":[164],"it":[165],"integrates":[166],"seamlessly":[167],"like":[170],"ControlNet,":[171],"demonstrating":[172],"across":[174],"diverse":[175],"scenarios.":[176]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-27T00:00:00"}
