{"id":"https://openalex.org/W7160604866","doi":"https://doi.org/10.48550/arxiv.2605.06509","title":"FreeSpec: Training-Free Long Video Generation via Singular-Spectrum Reconstruction","display_name":"FreeSpec: Training-Free Long Video Generation via Singular-Spectrum Reconstruction","publication_year":2026,"publication_date":"2026-05-07","ids":{"openalex":"https://openalex.org/W7160604866","doi":"https://doi.org/10.48550/arxiv.2605.06509"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.06509","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.06509","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":null,"license_id":null,"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.2605.06509","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135708750","display_name":"Fangda Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Fangda","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135642354","display_name":"Shanshan Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Shanshan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033807873","display_name":"Longrong Yang","orcid":"https://orcid.org/0000-0002-2433-2099"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Longrong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059351590","display_name":"Chuanfu Xu","orcid":"https://orcid.org/0000-0002-4876-2368"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Chuanfu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135650828","display_name":"Zhigang Luo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luo, Zhigang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135720093","display_name":"Long Lan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lan, Long","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":0.6757000088691711,"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":0.6757000088691711,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.05139999836683273,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.022299999371170998,"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/consistency","display_name":"Consistency (knowledge bases)","score":0.49470001459121704},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.47369998693466187},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.453900009393692},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4075999855995178},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.398499995470047},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.3490999937057495},{"id":"https://openalex.org/keywords/view-synthesis","display_name":"View synthesis","score":0.34450000524520874},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.34040001034736633},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.33880001306533813}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6410999894142151},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6261000037193298},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.557699978351593},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.49470001459121704},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.47369998693466187},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.453900009393692},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4075999855995178},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.398499995470047},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.3490999937057495},{"id":"https://openalex.org/C2776449333","wikidata":"https://www.wikidata.org/wiki/Q7928781","display_name":"View synthesis","level":3,"score":0.34450000524520874},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.34040001034736633},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.33880001306533813},{"id":"https://openalex.org/C77277458","wikidata":"https://www.wikidata.org/wiki/Q1969246","display_name":"Temporal database","level":2,"score":0.3264000117778778},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32600000500679016},{"id":"https://openalex.org/C137105694","wikidata":"https://www.wikidata.org/wiki/Q3407510","display_name":"Local consistency","level":4,"score":0.2922999858856201},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.29170000553131104},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.2874999940395355},{"id":"https://openalex.org/C2777032711","wikidata":"https://www.wikidata.org/wiki/Q5318993","display_name":"Dynamic mode decomposition","level":2,"score":0.2766000032424927},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.271699994802475},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26980000734329224},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.2662999927997589},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2651999890804291},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.26460000872612},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.2639000117778778},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2632000148296356},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.26260000467300415},{"id":"https://openalex.org/C146159030","wikidata":"https://www.wikidata.org/wiki/Q7625099","display_name":"Structure from motion","level":3,"score":0.25279998779296875}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.06509","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.06509","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.06509","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.06509","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":null,"license_id":null,"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":{"Video":[0],"diffusion":[1],"models":[2],"perform":[3],"well":[4],"in":[5,69],"short-video":[6],"synthesis,":[7],"but":[8,39,108],"their":[9],"training-free":[10,125],"extension":[11,80],"to":[12],"long":[13],"videos":[14],"often":[15,41],"suffers":[16],"from":[17,82],"content":[18],"drift,":[19],"temporal":[20,28,47,79,115,181,196,204],"inconsistency,":[21],"and":[22,46,61,72,86,113,135,142,151,180,186,203],"over-smoothed":[23],"dynamics.":[24,182],"Existing":[25],"methods":[26],"improve":[27],"consistency":[29,45,174],"by":[30,99],"combining":[31],"a":[32,36,83,100,124,156],"global":[33,134,145],"branch":[34,51,146,154],"with":[35,138],"local":[37,136,153],"branch,":[38],"they":[40],"further":[42],"decompose":[43],"appearance":[44,60],"dynamics":[48],"within":[49],"each":[50],"using":[52],"predefined":[53],"criteria.":[54],"This":[55,160],"assignment":[56],"is":[57],"unreliable":[58],"when":[59],"action":[62],"progression":[63],"are":[64],"tightly":[65],"coupled,":[66],"such":[67],"as":[68,147,155],"camera":[70],"motion":[71],"sequential":[73],"motion.":[74],"We":[75],"analyze":[76],"the":[77,144,152,164],"video":[78],"issue":[81],"singular-spectrum":[84],"perspective":[85],"show":[87],"that":[88,189],"enlarged":[89],"self-attention":[90],"windows":[91],"induce":[92],"spectral":[93,95,126,149],"concentration:":[94],"energy":[96],"becomes":[97],"dominated":[98],"few":[101],"low-rank":[102,148],"singular":[103,139],"directions,":[104],"preserving":[105,172],"coarse":[106],"structure":[107],"suppressing":[109],"high-rank":[110,157],"spatial":[111,178],"details":[112,179],"motion-rich":[114],"variations.":[116],"To":[117],"mitigate":[118],"this":[119],"problem,":[120],"we":[121],"propose":[122],"FreeSpec,":[123],"reconstruction":[127,158],"framework":[128],"for":[129,195],"long-video":[130,192],"generation.":[131],"FreeSpec":[132,190],"decomposes":[133],"features":[137],"value":[140],"decomposition,":[141],"uses":[143],"guidance":[150],"basis.":[159],"spectrum-level":[161],"fusion":[162],"avoids":[163],"rigid":[165],"feature":[166],"partitioning":[167],"of":[168],"previous":[169],"decomposition":[170],"rules,":[171],"long-range":[173],"while":[175,198],"better":[176],"retaining":[177],"Experiments":[183],"on":[184],"Wan2.1":[185],"LTX-Video":[187],"demonstrate":[188],"improves":[191],"generation,":[193],"especially":[194],"dynamics,":[197],"maintaining":[199],"strong":[200],"visual":[201],"quality":[202],"consistency.":[205],"Project":[206],"demo:":[207],"https://fdchen24.github.io/FreeSpec-Website/.":[208]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-05-09T00:00:00"}
