{"id":"https://openalex.org/W4408351856","doi":"https://doi.org/10.1109/icassp49660.2025.10888836","title":"TextureDiffusion: Target Prompt Disentangled Editing for Various Texture Transfer","display_name":"TextureDiffusion: Target Prompt Disentangled Editing for Various Texture Transfer","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408351856","doi":"https://doi.org/10.1109/icassp49660.2025.10888836"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10888836","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888836","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113140804","display_name":"Zihan Su","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zihan Su","raw_affiliation_strings":["Tsinghua University,Shenzhen International Graduate School,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Shenzhen International Graduate School,Shenzhen,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110808792","display_name":"Junhao Zhuang","orcid":"https://orcid.org/0000-0002-1642-0750"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junhao Zhuang","raw_affiliation_strings":["Tsinghua University,Shenzhen International Graduate School,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Shenzhen International Graduate School,Shenzhen,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102589903","display_name":"Chun Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chun Yuan","raw_affiliation_strings":["Tsinghua University,Shenzhen International Graduate School,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Shenzhen International Graduate School,Shenzhen,China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5113140804"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0398793,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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":0.9470999836921692,"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":0.9470999836921692,"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/computer-science","display_name":"Computer science","score":0.6821666955947876},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5723876357078552},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.5261397361755371},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4261520504951477},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3231598138809204},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11170876026153564},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.07844391465187073}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6821666955947876},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5723876357078552},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.5261397361755371},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4261520504951477},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3231598138809204},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11170876026153564},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.07844391465187073}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10888836","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888836","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.699999988079071,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2133665775","https://openalex.org/W2194775991","https://openalex.org/W2962785568","https://openalex.org/W3203246084","https://openalex.org/W4312234230","https://openalex.org/W4312740349","https://openalex.org/W4312872987","https://openalex.org/W4312933868","https://openalex.org/W4385245566","https://openalex.org/W4386057725","https://openalex.org/W4386076215","https://openalex.org/W4386113271","https://openalex.org/W4387158652","https://openalex.org/W4390872477","https://openalex.org/W4390873135","https://openalex.org/W4390873195","https://openalex.org/W4402775818","https://openalex.org/W6679045638","https://openalex.org/W6779823529","https://openalex.org/W6783713337","https://openalex.org/W6788990321","https://openalex.org/W6790978476","https://openalex.org/W6794385437","https://openalex.org/W6795288823","https://openalex.org/W6809885388","https://openalex.org/W6810940779","https://openalex.org/W6839643428","https://openalex.org/W6840155194","https://openalex.org/W6841366371","https://openalex.org/W6859594759","https://openalex.org/W6869775871"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Recently,":[0],"text-guided":[1],"image":[2,51,67,91],"editing":[3,68],"has":[4],"achieved":[5],"significant":[6],"success.":[7],"However,":[8],"existing":[9],"methods":[10],"can":[11,142],"only":[12],"apply":[13],"simple":[14],"textures":[15,28,146],"like":[16],"wood":[17],"or":[18,32],"gold":[19],"when":[20],"changing":[21],"the":[22,42,49,56,76,85,89,111,114,120,130,134],"texture":[23,57,73,86,95],"of":[24,113],"an":[25,124],"object.":[26],"Complex":[27],"such":[29],"as":[30],"cloud":[31],"fire":[33],"pose":[34],"a":[35,65],"challenge.":[36],"This":[37],"limitation":[38],"stems":[39],"from":[40,88],"that":[41,140],"target":[43,77],"prompt":[44,78],"needs":[45],"to":[46,71,82,93,109,118],"contain":[47],"both":[48],"input":[50,90,115],"content":[52,92],"and":[53,102,133,150],"<texture>,":[54],"restricting":[55],"representation.":[58,96],"In":[59],"this":[60],"paper,":[61],"we":[62,122],"propose":[63],"TextureDiffusion,":[64],"tuning-free":[66],"method":[69],"applied":[70],"various":[72,145],"transfer.":[74],"Initially,":[75],"is":[79,154],"directly":[80],"set":[81],"\"<texture>\",":[83],"making":[84],"disentangled":[87],"enhance":[94],"Subsequently,":[97],"query":[98],"features":[99,103],"in":[100,104],"self-attention":[101,131],"residual":[105],"blocks":[106],"are":[107],"utilized":[108],"preserve":[110],"structure":[112,149],"image.":[116],"Finally,":[117],"maintain":[119],"background,":[121],"introduce":[123],"edit":[125],"localization":[126],"technique":[127],"which":[128],"blends":[129],"results":[132],"intermediate":[135],"latents.":[136],"Comprehensive":[137],"experiments":[138],"demonstrate":[139],"TextureDiffusion":[141],"harmoniously":[143],"transfer":[144],"with":[147],"excellent":[148],"background":[151],"preservation.":[152],"Code":[153],"publicly":[155],"available":[156],"at":[157],"https://github.com/THU-CVML/TextureDiffusion":[158]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
