{"id":"https://openalex.org/W7148914632","doi":"https://doi.org/10.48550/arxiv.2604.01700","title":"Can Video Diffusion Models Predict Past Frames? Bidirectional Cycle Consistency for Reversible Interpolation","display_name":"Can Video Diffusion Models Predict Past Frames? Bidirectional Cycle Consistency for Reversible Interpolation","publication_year":2026,"publication_date":"2026-04-02","ids":{"openalex":"https://openalex.org/W7148914632","doi":"https://doi.org/10.48550/arxiv.2604.01700"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.01700","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.01700","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":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.2604.01700","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5132898115","display_name":"Lingyu Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Lingyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132905735","display_name":"Yaxiong Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yaxiong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132860141","display_name":"Li Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5132854672","display_name":"Zhedong Zheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zheng, Zhedong","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":0.6430000066757202,"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":0.6430000066757202,"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":0.19089999794960022,"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":0.05829999968409538,"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/interpolation","display_name":"Interpolation (computer graphics)","score":0.5978000164031982},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5529000163078308},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4510999917984009},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.428600013256073},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.41530001163482666},{"id":"https://openalex.org/keywords/aliasing","display_name":"Aliasing","score":0.39980000257492065},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.3824000060558319},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.34769999980926514},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.3377000093460083}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7544999718666077},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5978000164031982},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5529000163078308},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5008000135421753},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4510999917984009},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.436599999666214},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.428600013256073},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.41530001163482666},{"id":"https://openalex.org/C4069607","wikidata":"https://www.wikidata.org/wiki/Q868732","display_name":"Aliasing","level":3,"score":0.39980000257492065},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3926999866962433},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.3824000060558319},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.34769999980926514},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.3377000093460083},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.3375000059604645},{"id":"https://openalex.org/C145565327","wikidata":"https://www.wikidata.org/wiki/Q852514","display_name":"Motion control","level":3,"score":0.33169999718666077},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.2919999957084656},{"id":"https://openalex.org/C72560505","wikidata":"https://www.wikidata.org/wiki/Q204510","display_name":"Motion interpolation","level":5,"score":0.28760001063346863},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.28380000591278076},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.28040000796318054},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.26989999413490295},{"id":"https://openalex.org/C72898154","wikidata":"https://www.wikidata.org/wiki/Q458038","display_name":"Flight envelope","level":3,"score":0.2687000036239624},{"id":"https://openalex.org/C133978748","wikidata":"https://www.wikidata.org/wiki/Q15955882","display_name":"Reflection symmetry","level":2,"score":0.2653999924659729},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.2653999924659729},{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.26350000500679016},{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.2628999948501587},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.2565000057220459},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.2535000145435333}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.01700","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.01700","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":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.2604.01700","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.01700","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6395843625068665,"id":"https://metadata.un.org/sdg/4"}],"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],"frame":[1],"interpolation":[2],"aims":[3],"to":[4,14,35,42,85,97,140],"synthesize":[5],"realistic":[6],"intermediate":[7],"frames":[8],"between":[9,73],"given":[10],"endpoints":[11],"while":[12,197],"adhering":[13],"specific":[15],"motion":[16,43,121,183],"semantics.":[17],"While":[18],"recent":[19],"generative":[20],"models":[21],"have":[22],"improved":[23],"visual":[24],"fidelity,":[25],"they":[26],"predominantly":[27],"operate":[28],"in":[29,51,61,180],"a":[30,66,88,106,115,129,159],"unidirectional":[31],"manner,":[32],"lacking":[33],"mechanisms":[34],"self-verify":[36],"temporal":[37,59,92],"consistency.":[38],"This":[39,110],"often":[40],"leads":[41],"drift,":[44],"directional":[45,83],"ambiguity,":[46],"and":[47,75,102,185,191],"boundary":[48],"misalignment,":[49],"especially":[50],"long-range":[52],"sequences.":[53],"Inspired":[54],"by":[55],"the":[56,95,136,164,168],"principle":[57],"of":[58,167],"cycle-consistency":[60],"self-supervised":[62],"learning,":[63],"we":[64,127],"propose":[65],"novel":[67],"bidirectional":[68],"framework":[69],"that":[70,119,133,174],"enforces":[71],"symmetry":[72],"forward":[74,100,161],"backward":[76,103],"generation":[77],"trajectories.":[78],"Our":[79],"approach":[80],"introduces":[81],"learnable":[82],"tokens":[84],"explicitly":[86],"condition":[87],"shared":[89],"backbone":[90],"on":[91,188],"orientation,":[93],"enabling":[94],"model":[96,137],"jointly":[98],"optimize":[99],"synthesis":[101],"reconstruction":[104],"within":[105],"single":[107,160],"unified":[108],"architecture.":[109],"cycle-consistent":[111],"supervision":[112],"acts":[113],"as":[114],"powerful":[116],"regularizer,":[117],"ensuring":[118],"generated":[120],"paths":[122],"are":[123,152],"logically":[124],"reversible.":[125],"Furthermore,":[126],"employ":[128],"curriculum":[130],"learning":[131],"strategy":[132],"progressively":[134],"trains":[135],"from":[138],"short":[139],"long":[141],"sequences,":[142],"stabilizing":[143],"dynamics":[144],"across":[145],"varying":[146],"durations.":[147],"Crucially,":[148],"our":[149,175],"cyclic":[150],"constraints":[151],"applied":[153],"only":[154],"during":[155],"training;":[156],"inference":[157],"requires":[158],"pass,":[162],"maintaining":[163],"high":[165],"efficiency":[166],"base":[169],"model.":[170],"Extensive":[171],"experiments":[172],"show":[173],"method":[176],"achieves":[177],"state-of-the-art":[178],"performance":[179],"imaging":[181],"quality,":[182],"smoothness,":[184],"dynamic":[186],"control":[187],"both":[189],"37-frame":[190],"73-frame":[192],"tasks,":[193],"outperforming":[194],"strong":[195],"baselines":[196],"incurring":[198],"no":[199],"additional":[200],"computational":[201],"overhead.":[202]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-04T00:00:00"}