{"id":"https://openalex.org/W7204902572","doi":"https://doi.org/10.48550/arxiv.2608.28814","title":"FigMirror: Ground It, Code It, Plot It","display_name":"FigMirror: Ground It, Code It, Plot It","publication_year":2026,"publication_date":"2026-08-28","ids":{"openalex":"https://openalex.org/W7204902572","doi":"https://doi.org/10.48550/arxiv.2608.28814"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2608.28814","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2608.28814","pdf_url":"https://arxiv.org/pdf/2608.28814","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"raw_type":"text"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2608.28814","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5126489225","display_name":"Xiaohan Zhao","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210113480","display_name":"Mohamed bin Zayed University of Artificial Intelligence","ror":"https://ror.org/0258gkt32","country_code":"AE","type":"education","lineage":["https://openalex.org/I4210113480"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Zhao, Xiaohan","raw_affiliation_strings":["Department of Machine Learning , MBZUAI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Machine Learning , MBZUAI","institution_ids":["https://openalex.org/I4210113480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133846356","display_name":"Jiacheng Liu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210113480","display_name":"Mohamed bin Zayed University of Artificial Intelligence","ror":"https://ror.org/0258gkt32","country_code":"AE","type":"education","lineage":["https://openalex.org/I4210113480"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Liu, Jiacheng","raw_affiliation_strings":["Department of Machine Learning , MBZUAI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Machine Learning , MBZUAI","institution_ids":["https://openalex.org/I4210113480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126525020","display_name":"Yaxin Luo","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210113480","display_name":"Mohamed bin Zayed University of Artificial Intelligence","ror":"https://ror.org/0258gkt32","country_code":"AE","type":"education","lineage":["https://openalex.org/I4210113480"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Luo, Yaxin","raw_affiliation_strings":["Department of Machine Learning , MBZUAI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Machine Learning , MBZUAI","institution_ids":["https://openalex.org/I4210113480"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5148892949","display_name":"Zhiqiang Shen","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210113480","display_name":"Mohamed bin Zayed University of Artificial Intelligence","ror":"https://ror.org/0258gkt32","country_code":"AE","type":"education","lineage":["https://openalex.org/I4210113480"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Shen, Zhiqiang","raw_affiliation_strings":["Department of Machine Learning , MBZUAI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Machine Learning , MBZUAI","institution_ids":["https://openalex.org/I4210113480"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210113480"],"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9872999787330627,"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":0.9872999787330627,"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/T11986","display_name":"Scientific Computing and Data Management","score":0.002199999988079071,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.0020000000949949026,"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/executable-code-generation","display_name":"executable code generation","score":0.621999979019165},{"id":"https://openalex.org/keywords/agentic-ai","display_name":"agentic AI","score":0.5040000081062317}],"concepts":[{"id":"https://openalex.org/C160145156","wikidata":"https://www.wikidata.org/wiki/Q778586","display_name":"Executable","level":2,"score":0.8061000108718872},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6554999947547913},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5806000232696533},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5633000135421753},{"id":"https://openalex.org/C167651023","wikidata":"https://www.wikidata.org/wiki/Q1474611","display_name":"Plot (graphics)","level":2,"score":0.5188000202178955},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5063999891281128},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4787999987602234},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4334999918937683},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4156999886035919},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4115000069141388},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.37389999628067017},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.3564999997615814},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.34630000591278076},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.31189998984336853},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2793999910354614},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.26919999718666077},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.26750001311302185},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.25679999589920044},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2533999979496002}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2608.28814","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2608.28814","pdf_url":"https://arxiv.org/pdf/2608.28814","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2608.28814","doi":"https://doi.org/10.48550/arxiv.2608.28814","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2608.28814","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2608.28814","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2608.28814","pdf_url":"https://arxiv.org/pdf/2608.28814","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7204902572.pdf","grobid_xml":"https://content.openalex.org/works/W7204902572.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W3168867926","https://openalex.org/W4322718191","https://openalex.org/W4389156632","https://openalex.org/W4391555701","https://openalex.org/W4406755521","https://openalex.org/W4414757783","https://openalex.org/W4414886927","https://openalex.org/W4415330511","https://openalex.org/W4415332936","https://openalex.org/W4416780398"],"related_works":["https://openalex.org/W7212036227","https://openalex.org/W7166815427","https://openalex.org/W7119583208","https://openalex.org/W4411113317","https://openalex.org/W7206194409","https://openalex.org/W7220697166","https://openalex.org/W6910650539","https://openalex.org/W6921203644","https://openalex.org/W4416530238","https://openalex.org/W7196935786"],"abstract_inverted_index":{"Converting":[0],"scientific":[1],"figures":[2],"into":[3],"executable":[4,106],"code":[5,117,152],"has":[6],"gained":[7],"increasing":[8],"attention,":[9],"yet":[10],"existing":[11,128],"methods":[12,129,148],"primarily":[13],"focus":[14],"on":[15,130],"reproducing":[16],"the":[17,32,47,64,71],"reference":[18,37,48],"figure":[19,38],"itself.":[20],"A":[21],"more":[22],"practical":[23],"setting":[24],"is":[25],"to":[26,54,58,66],"plot":[27],"new":[28,59],"data":[29,154],"while":[30],"preserving":[31],"visual":[33,97],"style":[34,57,120,132],"of":[35],"a":[36],"(e.g.,":[39],"color":[40],"scheme":[41],"and":[42,52,74,101,118,153],"typography).":[43],"Prior":[44],"approaches":[45],"mimic":[46],"through":[49,92,105],"pixel-level":[50],"optimization":[51],"struggle":[53],"carry":[55],"its":[56],"data.":[60],"We":[61,82,108],"show":[62,123],"that":[63,88,124],"key":[65],"this":[67,137],"task":[68],"lies":[69],"in":[70,78,136],"coordinate":[72],"grounding":[73],"coding":[75],"capabilities":[76,91],"present":[77],"modern":[79],"computer-use":[80],"models.":[81],"propose":[83],"FigMirror,":[84,142],"an":[85,112],"agentic":[86],"framework":[87],"unlocks":[89],"these":[90],"Grounded":[93],"Measurement,":[94],"which":[95],"locates":[96],"elements":[98],"by":[99,141,146],"coordinates":[100],"measures":[102],"their":[103],"properties":[104],"code.":[107],"further":[109],"introduce":[110],"PlotTwin-Bench,":[111],"expert-curated":[113],"benchmark":[114],"with":[115],"fine-grained":[116],"image-level":[119],"metrics.":[121],"Experiments":[122],"FigMirror":[125],"consistently":[126],"outperforms":[127],"reference-conditioned":[131],"transfer.":[133],"All":[134],"plots":[135],"paper":[138],"are":[139,155],"generated":[140],"except":[143],"those":[144],"produced":[145],"other":[147],"for":[149],"comparison.":[150],"Our":[151],"available":[156],"at:":[157],"https://github.com/VILA-Lab/FigMirror.":[158]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-09-02T00:00:00"}