{"id":"https://openalex.org/W6947999488","doi":"https://doi.org/10.48550/arxiv.2503.12049","title":"TACO: Taming Diffusion for in-the-wild Video Amodal Completion","display_name":"TACO: Taming Diffusion for in-the-wild Video Amodal Completion","publication_year":2025,"publication_date":"2025-03-15","ids":{"openalex":"https://openalex.org/W6947999488","doi":"https://doi.org/10.48550/arxiv.2503.12049"},"language":"en","primary_location":{"id":"doi:10.48550/arxiv.2503.12049","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2503.12049","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":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2503.12049","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Lu, Ruijie","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Lu, Ruijie","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Chen, Yixin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Yixin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Liu, Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Yu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Tang, Jiaxiang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tang, Jiaxiang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Ni, Junfeng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ni, Junfeng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Wan, Diwen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wan, Diwen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Zeng, Gang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zeng, Gang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Huang, Siyuan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Siyuan","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":8,"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":true,"primary_topic":{"id":"https://openalex.org/T14297","display_name":"Plant-Derived Bioactive Compounds","score":0.06289999932050705,"subfield":{"id":"https://openalex.org/subfields/1605","display_name":"Organic Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14297","display_name":"Plant-Derived Bioactive Compounds","score":0.06289999932050705,"subfield":{"id":"https://openalex.org/subfields/1605","display_name":"Organic Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.05530000105500221,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10895","display_name":"Species Distribution and Climate Change","score":0.039799999445676804,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/amodal-perception","display_name":"Amodal perception","score":0.7495999932289124},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6685000061988831},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6424999833106995},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.608299970626831},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.48159998655319214},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.3799999952316284},{"id":"https://openalex.org/keywords/morphing","display_name":"Morphing","score":0.3034000098705292}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7649999856948853},{"id":"https://openalex.org/C174478892","wikidata":"https://www.wikidata.org/wiki/Q4747455","display_name":"Amodal perception","level":3,"score":0.7495999932289124},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7093999981880188},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6685000061988831},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6424999833106995},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.608299970626831},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5716000199317932},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.48159998655319214},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.3799999952316284},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3231000006198883},{"id":"https://openalex.org/C50637493","wikidata":"https://www.wikidata.org/wiki/Q1136781","display_name":"Morphing","level":2,"score":0.3034000098705292},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.29440000653266907},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.29120001196861267},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.2775999903678894},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.2754000127315521},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.27219998836517334},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.27079999446868896},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2685000002384186},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2574000060558319},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.25369998812675476}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2503.12049","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2503.12049","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":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2503.12049","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2503.12049","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":"article"},"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":{"Humans":[0],"can":[1,182],"infer":[2],"complete":[3,58],"shapes":[4],"and":[5,101,140,174,193,204],"appearances":[6],"of":[7,18,48,71,155],"objects":[8,26],"from":[9,158],"limited":[10],"visual":[11,66],"cues,":[12],"relying":[13],"on":[14,126,151,163],"extensive":[15],"prior":[16],"knowledge":[17],"the":[19,46,57,62,69,74],"physical":[20,201],"world.":[21],"However,":[22],"completing":[23],"partially":[24],"observable":[25],"while":[27],"ensuring":[28],"consistency":[29],"across":[30],"video":[31,63,81],"frames":[32],"remains":[33],"challenging":[34,105],"for":[35,39,95],"existing":[36],"models,":[37,83],"especially":[38],"unstructured,":[40],"in-the-wild":[41,106,156],"videos.":[42,124],"This":[43],"paper":[44],"tackles":[45],"task":[47],"Video":[49],"Amodal":[50],"Completion":[51],"(VAC),":[52],"which":[53],"aims":[54],"to":[55,104,143,186,199],"generate":[56],"object":[59,70,191],"consistently":[60],"throughout":[61],"given":[64],"a":[65,86,110,130,152],"prompt":[67],"specifying":[68],"interest.":[72],"Leveraging":[73],"rich,":[75],"consistent":[76],"manifolds":[77,94],"learned":[78],"by":[79,118],"pre-trained":[80],"diffusion":[82,88],"we":[84,108,128,178],"propose":[85],"conditional":[87],"model,":[89],"TACO,":[90],"that":[91,134,180],"repurposes":[92],"these":[93],"VAC.":[96],"To":[97],"enable":[98],"its":[99,197],"effective":[100],"robust":[102],"generalization":[103],"scenarios,":[107],"curate":[109],"large-scale":[111],"synthetic":[112],"dataset":[113],"with":[114,136],"multiple":[115],"difficulty":[116],"levels":[117],"systematically":[119],"imposing":[120],"occlusions":[121],"onto":[122],"un-occluded":[123],"Building":[125],"this,":[127],"devise":[129],"progressive":[131],"fine-tuning":[132],"paradigm":[133],"starts":[135],"simpler":[137],"recovery":[138],"tasks":[139,189],"gradually":[141],"advances":[142],"more":[144],"complex":[145],"ones.":[146],"We":[147],"demonstrate":[148],"TACO's":[149],"versatility":[150],"wide":[153],"range":[154],"videos":[157],"Internet,":[159],"as":[160,162],"well":[161],"diverse,":[164],"unseen":[165],"datasets":[166],"commonly":[167],"used":[168],"in":[169],"autonomous":[170],"driving,":[171],"robotic":[172],"manipulation,":[173],"scene":[175],"understanding.":[176],"Moreover,":[177],"show":[179],"TACO":[181],"be":[183],"effectively":[184],"applied":[185],"various":[187],"downstream":[188],"like":[190],"reconstruction":[192],"pose":[194],"estimation,":[195],"highlighting":[196],"potential":[198],"facilitate":[200],"world":[202],"understanding":[203],"reasoning.":[205],"Our":[206],"project":[207],"page":[208],"is":[209],"available":[210],"at":[211],"https://jason-aplp.github.io/TACO.":[212]},"counts_by_year":[],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}
