{"id":"https://openalex.org/W7165385988","doi":"https://doi.org/10.48550/arxiv.2606.20543","title":"SSD: Spatially Speculative Decoding Accelerates Autoregressive Image Generation","display_name":"SSD: Spatially Speculative Decoding Accelerates Autoregressive Image Generation","publication_year":2026,"publication_date":"2026-06-18","ids":{"openalex":"https://openalex.org/W7165385988","doi":"https://doi.org/10.48550/arxiv.2606.20543"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.20543","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.20543","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.2606.20543","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079471977","display_name":"Shilong Xiang","orcid":"https://orcid.org/0000-0001-7656-2876"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiang, Shilong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138965491","display_name":"Zirui Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Zirui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139006567","display_name":"Lijun Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Lijun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5061451821","display_name":"Chengzhi Mao","orcid":"https://orcid.org/0009-0008-7791-3891"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mao, Chengzhi","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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.7038000226020813,"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":0.7038000226020813,"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/T11448","display_name":"Face recognition and analysis","score":0.02759999968111515,"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/T12090","display_name":"Language and cultural evolution","score":0.024399999529123306,"subfield":{"id":"https://openalex.org/subfields/3316","display_name":"Cultural Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.85589998960495},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.7422000169754028},{"id":"https://openalex.org/keywords/mirroring","display_name":"Mirroring","score":0.7271000146865845},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.7178000211715698},{"id":"https://openalex.org/keywords/flattening","display_name":"Flattening","score":0.46309998631477356},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4505999982357025},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.38690000772476196}],"concepts":[{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.85589998960495},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.7422000169754028},{"id":"https://openalex.org/C189645446","wikidata":"https://www.wikidata.org/wiki/Q350865","display_name":"Mirroring","level":2,"score":0.7271000146865845},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.7178000211715698},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6868000030517578},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5144000053405762},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4717999994754791},{"id":"https://openalex.org/C19444555","wikidata":"https://www.wikidata.org/wiki/Q212750","display_name":"Flattening","level":2,"score":0.46309998631477356},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45339998602867126},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4505999982357025},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.38690000772476196},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.3790999948978424},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.35850000381469727},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.33889999985694885},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33820000290870667},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32739999890327454},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3237000107765198},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.29739999771118164},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.2890999913215637},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.28209999203681946},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.2703999876976013}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.20543","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.20543","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.2606.20543","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.20543","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":{"Autoregressive":[0],"models":[1],"excel":[2],"in":[3,63,95],"visual":[4,28,96],"generation":[5,103],"by":[6,104],"treating":[7],"images":[8],"as":[9],"1D":[10,65],"sequences":[11],"of":[12,27,53,124],"discrete":[13],"tokens,":[14],"mirroring":[15],"language":[16],"modeling.":[17],"However,":[18],"this":[19,84],"flattening":[20],"discards":[21],"the":[22,46,50,59,71,76,92,121,131],"intrinsic":[23],"2D":[24,85],"spatial":[25,86],"locality":[26],"signals,":[29],"creating":[30],"severe":[31],"computational":[32,128],"bottlenecks":[33],"during":[34],"inference.":[35,97],"We":[36],"introduce":[37],"Spatially":[38],"Speculative":[39],"Decoding":[40],"(SSD),":[41],"a":[42,64],"framework":[43],"that":[44,119],"aligns":[45],"predictive":[47],"objective":[48],"with":[49],"natural":[51],"geometry":[52,123],"images.":[54],"Rather":[55],"than":[56],"predicting":[57],"only":[58],"immediate":[60],"next":[61],"token":[62,74,77],"sequence,":[66],"our":[67],"model":[68],"simultaneously":[69],"predicts":[70],"adjacent":[72],"horizontal":[73],"and":[75,114],"directly":[78],"below":[79],"it.":[80],"By":[81],"capitalizing":[82],"on":[83,112],"correlation,":[87],"spatially":[88],"speculative":[89],"decoding":[90],"overcomes":[91],"memory":[93],"wall":[94],"Our":[98,116],"approach":[99],"accelerates":[100],"autoregressive":[101,136],"image":[102],"up":[105],"to":[106],"13.3x":[107],"while":[108],"maintaining":[109],"high":[110],"fidelity":[111],"DPG-Bench":[113],"GenEval.":[115],"results":[117],"suggest":[118],"respecting":[120],"underlying":[122],"vision":[125],"unlocks":[126],"massive":[127],"efficiencies,":[129],"paving":[130],"way":[132],"for":[133],"real-time,":[134],"high-resolution":[135],"generative":[137],"models.":[138]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-20T00:00:00"}