{"id":"https://openalex.org/W4310414496","doi":"https://doi.org/10.48550/arxiv.2211.14544","title":"Target-Free Text-guided Image Manipulation","display_name":"Target-Free Text-guided Image Manipulation","publication_year":2022,"publication_date":"2022-11-26","ids":{"openalex":"https://openalex.org/W4310414496","doi":"https://doi.org/10.48550/arxiv.2211.14544"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2211.14544","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2211.14544","pdf_url":"https://arxiv.org/pdf/2211.14544","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/2211.14544","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022911737","display_name":"Wan-Cyuan Fan","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Fan, Wan-Cyuan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055717634","display_name":"Cheng\u2010Fu Yang","orcid":"https://orcid.org/0000-0001-9167-2264"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Cheng-Fu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059376437","display_name":"Chiao-An Yang","orcid":"https://orcid.org/0000-0003-1947-1331"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Chiao-An","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5090045508","display_name":"Yu-Chiang Frank Wang","orcid":"https://orcid.org/0000-0002-2333-157X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yu-Chiang Frank","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5022911737"],"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9886000156402588,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9886000156402588,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9699000120162964,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9329000115394592,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.8270293474197388},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6957345008850098},{"id":"https://openalex.org/keywords/undo","display_name":"Undo","score":0.6025645732879639},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5624058246612549},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5622849464416504},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5342311859130859},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.5324310660362244},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.49606212973594666},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4743194282054901},{"id":"https://openalex.org/keywords/semantic-reasoner","display_name":"Semantic reasoner","score":0.4647115468978882},{"id":"https://openalex.org/keywords/dialog-box","display_name":"Dialog box","score":0.4277886152267456},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4260879158973694},{"id":"https://openalex.org/keywords/interpreter","display_name":"Interpreter","score":0.412385493516922},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.41015005111694336},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3854537308216095},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34547698497772217},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.2311345934867859},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1613357961177826},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.11369886994361877}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8270293474197388},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6957345008850098},{"id":"https://openalex.org/C2780154230","wikidata":"https://www.wikidata.org/wiki/Q513420","display_name":"Undo","level":2,"score":0.6025645732879639},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5624058246612549},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5622849464416504},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5342311859130859},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.5324310660362244},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.49606212973594666},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4743194282054901},{"id":"https://openalex.org/C9616225","wikidata":"https://www.wikidata.org/wiki/Q3929429","display_name":"Semantic reasoner","level":2,"score":0.4647115468978882},{"id":"https://openalex.org/C173853756","wikidata":"https://www.wikidata.org/wiki/Q86915","display_name":"Dialog box","level":2,"score":0.4277886152267456},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4260879158973694},{"id":"https://openalex.org/C122783720","wikidata":"https://www.wikidata.org/wiki/Q183065","display_name":"Interpreter","level":2,"score":0.412385493516922},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.41015005111694336},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3854537308216095},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34547698497772217},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.2311345934867859},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1613357961177826},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.11369886994361877},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2211.14544","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2211.14544","pdf_url":"https://arxiv.org/pdf/2211.14544","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.2211.14544","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2211.14544","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:2211.14544","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2211.14544","pdf_url":"https://arxiv.org/pdf/2211.14544","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/W79743612","https://openalex.org/W2115968517","https://openalex.org/W2575202322","https://openalex.org/W4244323118","https://openalex.org/W2158967736","https://openalex.org/W1038420441","https://openalex.org/W2114343912","https://openalex.org/W2170927537","https://openalex.org/W2054873404","https://openalex.org/W2081448291"],"abstract_inverted_index":{"We":[0,140],"tackle":[1],"the":[2,14,20,58,64,74,86,90,95,99,107,110,113,121,135,145,152],"problem":[3],"of":[4,61,89,123,147,156],"target-free":[5],"text-guided":[6],"image":[7,17,29,59,65,92,108],"manipulation,":[8],"which":[9,48],"requires":[10],"one":[11],"to":[12,51,56,70,84],"modify":[13],"input":[15,75,96],"reference":[16],"based":[18,93],"on":[19,94,144],"given":[21],"text":[22],"instruction,":[23],"while":[24,77],"no":[25],"ground":[26],"truth":[27],"target":[28],"is":[30,49],"observed":[31],"during":[32],"training.":[33],"To":[34],"address":[35],"this":[36,46],"challenging":[37],"task,":[38],"we":[39],"propose":[40],"a":[41],"Cyclic-Manipulation":[42],"GAN":[43],"(cManiGAN)":[44],"in":[45,67,134],"paper,":[47],"able":[50],"realize":[52],"where":[53],"and":[54,72,80,116,149,151,154],"how":[55],"edit":[57],"regions":[60],"interest.":[62],"Specifically,":[63],"editor":[66],"cManiGAN":[68,130],"learns":[69],"identify":[71],"complete":[73],"image,":[76],"cross-modal":[78],"interpreter":[79],"reasoner":[81],"are":[82],"deployed":[83],"verify":[85],"semantic":[87],"correctness":[88],"output":[91],"instruction.":[97],"While":[98],"former":[100],"utilizes":[101],"factual/counterfactual":[102],"description":[103],"learning":[104],"for":[105,120],"authenticating":[106],"semantics,":[109],"latter":[111],"predicts":[112],"\"undo\"":[114],"instruction":[115],"provides":[117],"pixel-level":[118],"supervision":[119],"training":[122],"cManiGAN.":[124],"With":[125],"such":[126],"operational":[127],"cycle-consistency,":[128],"our":[129,157],"can":[131,160],"be":[132,161],"trained":[133],"above":[136],"weakly":[137],"supervised":[138],"setting.":[139],"conduct":[141],"extensive":[142],"experiments":[143],"datasets":[146],"CLEVR":[148],"COCO,":[150],"effectiveness":[153],"generalizability":[155],"proposed":[158],"method":[159],"successfully":[162],"verified.":[163],"Project":[164],"page:":[165],"https://sites.google.com/view/wancyuanfan/projects/cmanigan.":[166]},"counts_by_year":[],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}