{"id":"https://openalex.org/W4393300513","doi":"https://doi.org/10.48550/arxiv.2403.18660","title":"InstructBrush: Learning Attention-based Instruction Optimization for Image Editing","display_name":"InstructBrush: Learning Attention-based Instruction Optimization for Image Editing","publication_year":2024,"publication_date":"2024-03-27","ids":{"openalex":"https://openalex.org/W4393300513","doi":"https://doi.org/10.48550/arxiv.2403.18660"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2403.18660","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2403.18660","pdf_url":"https://arxiv.org/pdf/2403.18660","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2403.18660","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007599604","display_name":"Ruoyu Zhao","orcid":"https://orcid.org/0000-0003-3631-1890"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zhao, Ruoyu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030729327","display_name":"Qingnan Fan","orcid":"https://orcid.org/0000-0003-1249-2826"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fan, Qingnan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064883636","display_name":"Fei Kou","orcid":"https://orcid.org/0000-0003-3934-8998"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kou, Fei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039097048","display_name":"Shuai Qin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qin, Shuai","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066252308","display_name":"Hong Gu","orcid":"https://orcid.org/0000-0001-6496-0383"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gu, Hong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111132426","display_name":"Wei Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Wei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101666393","display_name":"Pengcheng Xu","orcid":"https://orcid.org/0000-0002-3137-4801"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Pengcheng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076459579","display_name":"Mingrui Zhu","orcid":"https://orcid.org/0000-0002-4179-7701"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, Mingrui","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042507268","display_name":"Nannan Wang","orcid":"https://orcid.org/0000-0002-4695-6134"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Nannan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101785348","display_name":"Xinbo Gao","orcid":"https://orcid.org/0000-0003-1443-0776"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gao, Xinbo","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5007599604"],"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9818999767303467,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9818999767303467,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9765999913215637,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9567999839782715,"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":0.6576354503631592},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5954810380935669},{"id":"https://openalex.org/keywords/image-editing","display_name":"Image editing","score":0.5071461200714111},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43751251697540283},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33161717653274536},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.32588499784469604}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6576354503631592},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5954810380935669},{"id":"https://openalex.org/C2776674983","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image editing","level":3,"score":0.5071461200714111},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43751251697540283},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33161717653274536},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.32588499784469604}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2403.18660","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2403.18660","pdf_url":"https://arxiv.org/pdf/2403.18660","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2403.18660","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2403.18660","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":"pmh:oai:arXiv.org:2403.18660","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2403.18660","pdf_url":"https://arxiv.org/pdf/2403.18660","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","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":{"In":[0],"recent":[1],"years,":[2],"instruction-based":[3,46],"image":[4,12,47,60,70,112],"editing":[5,21,29,48,56,63,113,132,157,166],"methods":[6,24,49,109],"have":[7],"garnered":[8],"significant":[9],"attention":[10],"in":[11,94,114,156],"editing.":[13,71],"However,":[14],"despite":[15],"encompassing":[16],"a":[17,119,126],"wide":[18],"range":[19],"of":[20,90,96,106,129,136,145],"priors,":[22],"these":[23],"are":[25,32,66,75],"helpless":[26],"when":[27],"handling":[28],"tasks":[30],"that":[31],"challenging":[33],"to":[34,50,86,110],"accurately":[35],"describe":[36],"through":[37],"language.":[38],"We":[39],"propose":[40],"InstructBrush,":[41,78],"an":[42],"inversion":[43,97,108],"method":[44,93],"for":[45,69,142],"bridge":[51],"this":[52,137],"gap.":[53],"It":[54],"extracts":[55],"effects":[57,98],"from":[58],"exemplar":[59],"pairs":[61],"as":[62],"instructions,":[64],"which":[65,124],"further":[67,143],"applied":[68],"Two":[72],"key":[73],"techniques":[74],"introduced":[76],"into":[77],"Attention-based":[79],"Instruction":[80,84],"Optimization":[81],"and":[82,99,131,149,158],"Transformation-oriented":[83],"Initialization,":[85],"address":[87],"the":[88,91,104,140,164],"limitations":[89],"previous":[92],"terms":[95],"instruction":[100,107,146],"generalization.":[101],"To":[102],"explore":[103],"ability":[105],"guide":[111],"open":[115],"scenarios,":[116],"we":[117],"establish":[118],"TransformationOriented":[120],"Paired":[121],"Benchmark":[122],"(TOP-Bench),":[123],"contains":[125],"rich":[127],"set":[128],"scenes":[130],"types.":[133],"The":[134],"creation":[135],"benchmark":[138],"paves":[139],"way":[141],"exploration":[144],"inversion.":[147],"Quantitatively":[148],"qualitatively,":[150],"our":[151],"approach":[152],"achieves":[153],"superior":[154],"performance":[155],"is":[159],"more":[160],"semantically":[161],"consistent":[162],"with":[163],"target":[165],"effects.":[167]},"counts_by_year":[],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2024-03-29T00:00:00"}