{"id":"https://openalex.org/W7164340683","doi":"https://doi.org/10.48550/arxiv.2606.11969","title":"SpecLoR: Spectral Lookahead Rectification for Motion-Coherent Text-to-Video Generation","display_name":"SpecLoR: Spectral Lookahead Rectification for Motion-Coherent Text-to-Video Generation","publication_year":2026,"publication_date":"2026-06-10","ids":{"openalex":"https://openalex.org/W7164340683","doi":"https://doi.org/10.48550/arxiv.2606.11969"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.11969","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.11969","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":"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.2606.11969","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5138466933","display_name":"Xu Zhang (49484)","orcid":"https://orcid.org/0009-0009-4871-8234"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Xu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138482360","display_name":"Yu Lu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lu, Yu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138435346","display_name":"Ruijie Quan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Quan, Ruijie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025484172","display_name":"Zhaozheng Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Zhaozheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029674783","display_name":"Bohan Wang","orcid":"https://orcid.org/0009-0005-8463-723X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Bohan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5138395144","display_name":"Yi Yang (116183)","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Yi","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/T12290","display_name":"Human Motion and Animation","score":0.4138000011444092,"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"}},"topics":[{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.4138000011444092,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.3939000070095062,"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/T11349","display_name":"Music Technology and Sound Studies","score":0.01979999989271164,"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/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.5821999907493591},{"id":"https://openalex.org/keywords/discretization","display_name":"Discretization","score":0.5257999897003174},{"id":"https://openalex.org/keywords/rectification","display_name":"Rectification","score":0.5175999999046326},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.5108000040054321},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5054000020027161},{"id":"https://openalex.org/keywords/ode","display_name":"Ode","score":0.49619999527931213},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4772000014781952},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.44909998774528503},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.3644999861717224},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.35100001096725464}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6492999792098999},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.5821999907493591},{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.5257999897003174},{"id":"https://openalex.org/C50942859","wikidata":"https://www.wikidata.org/wiki/Q4967193","display_name":"Rectification","level":3,"score":0.5175999999046326},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.5108000040054321},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5054000020027161},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49799999594688416},{"id":"https://openalex.org/C34862557","wikidata":"https://www.wikidata.org/wiki/Q178985","display_name":"Ode","level":2,"score":0.49619999527931213},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4772000014781952},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.44909998774528503},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4009000062942505},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.3644999861717224},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.35100001096725464},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.32190001010894775},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.31769999861717224},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31310001015663147},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.3068999946117401},{"id":"https://openalex.org/C2985909886","wikidata":"https://www.wikidata.org/wiki/Q193147","display_name":"Spatial coherence","level":3,"score":0.30570000410079956},{"id":"https://openalex.org/C114996537","wikidata":"https://www.wikidata.org/wiki/Q4854529","display_name":"Colors of noise","level":3,"score":0.3052000105381012},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.302700012922287},{"id":"https://openalex.org/C20326153","wikidata":"https://www.wikidata.org/wiki/Q7049638","display_name":"Nonuniform sampling","level":3,"score":0.3012000024318695},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.28029999136924744},{"id":"https://openalex.org/C180205008","wikidata":"https://www.wikidata.org/wiki/Q159190","display_name":"Amplitude","level":2,"score":0.27959999442100525},{"id":"https://openalex.org/C122770356","wikidata":"https://www.wikidata.org/wiki/Q1656753","display_name":"Identifiability","level":2,"score":0.27489998936653137},{"id":"https://openalex.org/C198927703","wikidata":"https://www.wikidata.org/wiki/Q4373881","display_name":"Sequential quadratic programming","level":3,"score":0.27129998803138733},{"id":"https://openalex.org/C52740198","wikidata":"https://www.wikidata.org/wiki/Q1539564","display_name":"Importance sampling","level":3,"score":0.26429998874664307},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.2630000114440918},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2597000002861023},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.25839999318122864},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.2574000060558319},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2565000057220459},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.25540000200271606},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.25459998846054077},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.2500999867916107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.11969","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.11969","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":"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.2606.11969","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.11969","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":"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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Flow":[0],"Matching":[1],"has":[2],"enabled":[3],"robust":[4],"text-to-video":[5],"generation":[6],"via":[7,79],"latent":[8,115],"ODE":[9,145],"sampling.":[10],"However,":[11],"velocity":[12],"approximation":[13],"and":[14,82,117,157],"numerical":[15],"discretization":[16],"errors":[17],"inevitably":[18],"accumulate,":[19],"causing":[20],"sampling":[21,106],"trajectories":[22],"to":[23,89,111,129,143],"drift.":[24],"Consequently,":[25],"generated":[26],"videos":[27,99],"often":[28],"suffer":[29],"from":[30],"severe":[31],"spatiotemporal":[32,84,121],"inconsistencies.":[33],"Nevertheless,":[34],"directly":[35],"correcting":[36],"these":[37],"drifted,":[38],"noisy":[39],"latents":[40],"is":[41,141],"challenging:":[42],"(i)":[43],"timestep-dependent":[44],"noise":[45,78],"obscures":[46],"reliable":[47],"structural":[48],"cues;":[49],"(ii)":[50],"spatial":[51],"interventions":[52],"risk":[53],"disrupting":[54],"intricate":[55],"local":[56],"geometry":[57],"while":[58],"incurring":[59],"heavy":[60],"computational":[61,166],"costs.":[62],"To":[63],"address":[64],"this,":[65],"we":[66],"propose":[67],"Spectral":[68],"Lookahead":[69],"Rectification":[70],"(SpecLoR),":[71],"a":[72],"plug-and-play":[73],"inference":[74],"method":[75],"that":[76,151],"bypasses":[77],"lookahead":[80],"prediction,":[81],"circumvents":[83],"entanglement":[85],"by":[86],"shifting":[87],"corrections":[88],"the":[90,113,126,131,134,138],"frequency":[91],"domain,":[92],"where":[93],"universal":[94],"statistical":[95],"priors":[96],"of":[97],"natural":[98],"are":[100],"readily":[101],"available.":[102],"First,":[103],"during":[104],"early":[105],"stages,":[107],"SpecLoR":[108,124,152],"looks":[109],"ahead":[110],"estimate":[112],"clean":[114],"$z_{t,0}$":[116],"computes":[118],"its":[119],"3D":[120],"spectrum.":[122],"Next,":[123],"rectifies":[125],"amplitude":[127],"spectrum":[128],"match":[130],"prior,":[132],"leaving":[133],"phase":[135],"intact.":[136],"Finally,":[137],"corrected":[139],"state":[140],"re-noised":[142],"resume":[144],"integration.":[146],"Experiments":[147],"on":[148],"Wan2.2":[149],"demonstrate":[150],"significantly":[153],"reduces":[154],"physical":[155],"artifacts":[156],"enhances":[158],"motion":[159],"coherence":[160],"across":[161],"multiple":[162],"benchmarks":[163],"with":[164],"minimal":[165],"overhead":[167],"(4":[168],"additional":[169],"NFEs).":[170]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-12T00:00:00"}
