{"id":"https://openalex.org/W7163165301","doi":"https://doi.org/10.48550/arxiv.2606.00121","title":"Versatile Framework with Semantic and Structural guidance for Image Reconstruction from Brain Activity","display_name":"Versatile Framework with Semantic and Structural guidance for Image Reconstruction from Brain Activity","publication_year":2026,"publication_date":"2026-05-28","ids":{"openalex":"https://openalex.org/W7163165301","doi":"https://doi.org/10.48550/arxiv.2606.00121"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.00121","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.00121","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,"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"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.00121","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137683874","display_name":"Yizhuo Lu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lu, Yizhuo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051978172","display_name":"Changde Du","orcid":"https://orcid.org/0000-0002-0084-433X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Du, Changde","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137633125","display_name":"Qiongyi Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Qiongyi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102662624","display_name":"Liuyun Jiang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiang, Liuyun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137693087","display_name":"Huiguang He","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Huiguang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.5019999742507935,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.5019999742507935,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11094","display_name":"Face Recognition and Perception","score":0.14659999310970306,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.05209999904036522,"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/interpretability","display_name":"Interpretability","score":0.8884000182151794},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6180999875068665},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5418000221252441},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.44290000200271606},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4383000135421753},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.42669999599456787},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4207000136375427},{"id":"https://openalex.org/keywords/brain-activity-and-meditation","display_name":"Brain activity and meditation","score":0.39980000257492065},{"id":"https://openalex.org/keywords/visual-cortex","display_name":"Visual cortex","score":0.3799000084400177},{"id":"https://openalex.org/keywords/controllability","display_name":"Controllability","score":0.3700000047683716}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8884000182151794},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7414000034332275},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6765999794006348},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6180999875068665},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5418000221252441},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.44290000200271606},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4383000135421753},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.42669999599456787},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4207000136375427},{"id":"https://openalex.org/C120843803","wikidata":"https://www.wikidata.org/wiki/Q4955807","display_name":"Brain activity and meditation","level":3,"score":0.39980000257492065},{"id":"https://openalex.org/C2779345533","wikidata":"https://www.wikidata.org/wiki/Q75785","display_name":"Visual cortex","level":2,"score":0.3799000084400177},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37229999899864197},{"id":"https://openalex.org/C48209547","wikidata":"https://www.wikidata.org/wiki/Q1331104","display_name":"Controllability","level":2,"score":0.3700000047683716},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.35530000925064087},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.3538999855518341},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.3481999933719635},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.3458999991416931},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.3255999982357025},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.323199987411499},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3003999888896942},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.29809999465942383},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.29809999465942383},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.29249998927116394},{"id":"https://openalex.org/C178253425","wikidata":"https://www.wikidata.org/wiki/Q162668","display_name":"Visual perception","level":3,"score":0.28349998593330383},{"id":"https://openalex.org/C2778659636","wikidata":"https://www.wikidata.org/wiki/Q3042992","display_name":"Decussation","level":2,"score":0.2816999852657318},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.27129998803138733},{"id":"https://openalex.org/C152478114","wikidata":"https://www.wikidata.org/wiki/Q660910","display_name":"Neurophysiology","level":2,"score":0.26919999718666077},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.2678000032901764},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2676999866962433},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.2662999927997589},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.2621000111103058},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2549000084400177},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.25369998812675476}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.00121","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.00121","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,"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":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.00121","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.00121","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,"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"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Reconstructing":[0],"visual":[1,141,176],"stimuli":[2,56,74],"from":[3,118,151],"brain":[4,14,119,165,220],"recordings":[5],"has":[6],"been":[7],"a":[8,101,127],"meaningful":[9],"and":[10,21,32,63,82,89,193,199],"challenging":[11],"task":[12],"in":[13,28,41,57,75],"decoding.":[15],"Especially,":[16],"the":[17,30,42,72,87,92,96,148,184,191,205],"achievement":[18],"of":[19,34,44,59,91,186,195,208],"precise":[20],"controllable":[22],"image":[23,103,129],"reconstruction":[24,104],"bears":[25],"great":[26],"significance":[27],"propelling":[29],"progress":[31],"utilization":[33],"brain-computer":[35],"interfaces.":[36],"Recent":[37],"methods,":[38],"leveraging":[39],"advances":[40],"power":[43],"text-to-image":[45],"generation":[46],"models,":[47,189],"have":[48],"reconstructed":[49],"images":[50],"that":[51,179],"closely":[52],"approximate":[53],"complex":[54],"natural":[55],"terms":[58],"semantics":[60],"(e.g.,":[61,79],"concepts":[62],"objects).":[64],"However,":[65],"they":[66],"struggle":[67],"to":[68,156],"maintain":[69],"consistency":[70],"with":[71],"original":[73],"fine-grained":[76],"structural":[77,158],"information":[78],"position,":[80],"orientation":[81],"size),":[83],"which":[84],"undermines":[85],"both":[86],"controllability":[88],"interpretability":[90],"models.":[93],"To":[94],"address":[95],"aforementioned":[97],"issues,":[98],"we":[99,136],"propose":[100],"two-stage":[102],"framework,":[105,210],"termed":[106],"MindDiffuser.":[107],"In":[108,133],"Stage":[109,134,152],"1,":[110],"Contrastive":[111],"Language-Image":[112],"Pretraining":[113],"(CLIP)":[114],"text":[115],"embeddings":[116],"decoded":[117,138],"responses":[120],"are":[121],"input":[122],"into":[123],"Stable":[124],"Diffusion,":[125],"generating":[126],"preliminary":[128],"containing":[130],"semantic":[131],"information.":[132,159],"2,":[135],"use":[137],"shallow":[139],"CLIP":[140],"features":[142],"as":[143],"supervisory":[144],"signals,":[145],"iteratively":[146],"refining":[147],"feature":[149],"vectors":[150],"1":[153],"via":[154],"backpropagation":[155],"align":[157],"We":[160],"conducted":[161],"extensive":[162],"experiments":[163],"on":[164],"response":[166],"datasets":[167],"across":[168,218],"three":[169],"modalities":[170],"(fMRI,":[171],"EEG,":[172],"MEG)":[173],"elicited":[174],"by":[175],"stimuli,":[177],"demonstrating":[178],"our":[180,196,209],"framework":[181],"significantly":[182],"enhances":[183],"performance":[185],"previous":[187],"state-of-the-art":[188],"highlighting":[190],"effectiveness":[192],"versatility":[194],"approach.":[197],"Spatial":[198],"temporal":[200],"visualization":[201],"results":[202],"further":[203],"support":[204],"neurobiological":[206],"plausibility":[207],"providing":[211],"guidance":[212],"for":[213],"future":[214],"neural":[215],"decoding":[216],"efforts":[217],"different":[219],"signal":[221],"modalities.":[222]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-03T00:00:00"}
