{"id":"https://openalex.org/W4403618177","doi":"https://doi.org/10.48550/arxiv.2409.05427","title":"TextToucher: Fine-Grained Text-to-Touch Generation","display_name":"TextToucher: Fine-Grained Text-to-Touch Generation","publication_year":2024,"publication_date":"2024-09-09","ids":{"openalex":"https://openalex.org/W4403618177","doi":"https://doi.org/10.48550/arxiv.2409.05427"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2409.05427","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2409.05427","pdf_url":"https://arxiv.org/pdf/2409.05427","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/2409.05427","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066207937","display_name":"Jiangping Tu","orcid":"https://orcid.org/0000-0002-7928-1583"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Tu, Jiahang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041941283","display_name":"Hao Fu","orcid":"https://orcid.org/0000-0003-0121-0248"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fu, Hao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110301895","display_name":"Fengyu Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Fengyu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101188941","display_name":"Hanbin Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Hanbin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048701959","display_name":"Chao Zhang","orcid":"https://orcid.org/0000-0002-2701-4088"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Chao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5103215554","display_name":"Hui Qian","orcid":"https://orcid.org/0000-0003-1267-9607"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qian, Hui","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5066207937"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"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/T12031","display_name":"Speech and dialogue systems","score":0.9757000207901001,"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"}},"topics":[{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9757000207901001,"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"}},{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9722999930381775,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/T10789","display_name":"Interactive and Immersive Displays","score":0.9700000286102295,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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":0.5715898275375366},{"id":"https://openalex.org/keywords/text-generation","display_name":"Text generation","score":0.46616584062576294},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.26369568705558777}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5715898275375366},{"id":"https://openalex.org/C2985684807","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Text generation","level":2,"score":0.46616584062576294},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.26369568705558777}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2409.05427","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2409.05427","pdf_url":"https://arxiv.org/pdf/2409.05427","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.2409.05427","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2409.05427","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:2409.05427","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2409.05427","pdf_url":"https://arxiv.org/pdf/2409.05427","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":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4403618177.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Tactile":[0],"sensation":[1],"plays":[2],"a":[3,25,89,103,119,166],"crucial":[4],"role":[5],"in":[6,64],"the":[7,59,110,127,134,139,145,159,175,185],"development":[8],"of":[9,27,61,82,121,148,177,187],"multi-modal":[10],"large":[11,105],"models":[12],"and":[13,74,87,117,151],"embodied":[14],"intelligence.":[15],"To":[16,131],"collect":[17],"tactile":[18,33,46,52,62,72,98,115,129,135,180],"data":[19],"with":[20,138],"minimal":[21],"cost":[22],"as":[23],"possible,":[24],"series":[26],"studies":[28],"have":[29],"attempted":[30],"to":[31,41,95,108,125,172],"generate":[32,96],"images":[34,63],"by":[35],"vision-to-touch":[36],"image":[37],"translation.":[38],"However,":[39],"compared":[40],"text":[42,85,111,123,141,149,155],"modality,":[43],"visual":[44],"modality-driven":[45],"generation":[47,92,136],"cannot":[48],"accurately":[49],"depict":[50],"human":[51],"sensation.":[53],"In":[54],"this":[55],"work,":[56],"we":[57,101,143,164],"analyze":[58],"characteristics":[60],"detail":[65],"from":[66],"two":[67],"granularities:":[68],"object-level":[69,114],"(tactile":[70],"texture,":[71],"shape),":[73],"sensor-level":[75,128],"(gel":[76],"status).":[77],"We":[78],"model":[79,107],"these":[80],"granularities":[81],"information":[83,116,150],"through":[84],"descriptions":[86],"propose":[88,165],"fine-grained":[90],"Text-to-Touch":[91],"method":[93],"(TextToucher)":[94],"high-quality":[97],"samples.":[99],"Specifically,":[100],"introduce":[102],"multimodal":[104],"language":[106],"build":[109],"sentences":[112],"about":[113],"employ":[118],"set":[120],"learnable":[122],"prompts":[124],"represent":[126],"information.":[130],"better":[132],"guide":[133],"process":[137],"built":[140],"information,":[142],"fuse":[144],"dual":[146],"grains":[147],"explore":[152],"various":[153],"dual-grain":[154],"conditioning":[156],"methods":[157],"within":[158],"diffusion":[160],"transformer":[161],"architecture.":[162],"Furthermore,":[163],"Contrastive":[167],"Text-Touch":[168],"Pre-training":[169],"(CTTP)":[170],"metric":[171],"precisely":[173],"evaluate":[174],"quality":[176],"text-driven":[178],"generated":[179],"data.":[181],"Extensive":[182],"experiments":[183],"demonstrate":[184],"superiority":[186],"our":[188],"TextToucher":[189],"method.":[190],"The":[191],"source":[192],"codes":[193],"will":[194],"be":[195],"available":[196],"at":[197],"\\url{https://github.com/TtuHamg/TextToucher}.":[198]},"counts_by_year":[],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2025-10-10T00:00:00"}