{"id":"https://openalex.org/W7162524273","doi":"https://doi.org/10.48550/arxiv.2605.26316","title":"E$^3$C: Video Generation with 3D Environmental Memory and Ego-Exo Human Pose Control","display_name":"E$^3$C: Video Generation with 3D Environmental Memory and Ego-Exo Human Pose Control","publication_year":2026,"publication_date":"2026-05-25","ids":{"openalex":"https://openalex.org/W7162524273","doi":"https://doi.org/10.48550/arxiv.2605.26316"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.26316","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.26316","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.2605.26316","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100602746","display_name":"Qiao Gu","orcid":"https://orcid.org/0000-0001-9431-6716"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gu, Qiao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137114804","display_name":"Lingni Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Lingni","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019748928","display_name":"Adam W. Harley","orcid":"https://orcid.org/0000-0002-9851-4645"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Harley, Adam W","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112393472","display_name":"Richard Newcombe","orcid":"https://orcid.org/0009-0004-9091-8989"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Newcombe, Richard","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010648258","display_name":"Florian Shkurti","orcid":"https://orcid.org/0000-0002-5672-5831"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shkurti, Florian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5082100051","display_name":"Julian Straub","orcid":"https://orcid.org/0000-0003-4544-6332"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Straub, Julian","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":0.7889999747276306,"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":0.7889999747276306,"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/T12290","display_name":"Human Motion and Animation","score":0.12389999628067017,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.023600000888109207,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.45590001344680786},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4530999958515167},{"id":"https://openalex.org/keywords/embodied-cognition","display_name":"Embodied cognition","score":0.44780001044273376},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.4250999987125397},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4226999878883362},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.383899986743927},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.3393000066280365},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.3391999900341034},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.3287000060081482}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7537000179290771},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7445999979972839},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6995999813079834},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.45590001344680786},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4530999958515167},{"id":"https://openalex.org/C100609095","wikidata":"https://www.wikidata.org/wiki/Q1335050","display_name":"Embodied cognition","level":2,"score":0.44780001044273376},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.4250999987125397},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4226999878883362},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.383899986743927},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.36419999599456787},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.3393000066280365},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.3391999900341034},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.33320000767707825},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.3287000060081482},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.32350000739097595},{"id":"https://openalex.org/C193293595","wikidata":"https://www.wikidata.org/wiki/Q23852","display_name":"Human body","level":2,"score":0.3183000087738037},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3156999945640564},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.30869999527931213},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.3086000084877014},{"id":"https://openalex.org/C108154423","wikidata":"https://www.wikidata.org/wiki/Q1469792","display_name":"Salience (neuroscience)","level":2,"score":0.2921999990940094},{"id":"https://openalex.org/C22100474","wikidata":"https://www.wikidata.org/wiki/Q4800952","display_name":"Articulated body pose estimation","level":4,"score":0.2874999940395355},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.2802000045776367},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.2793000042438507},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.2718000113964081},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.26440000534057617},{"id":"https://openalex.org/C150303390","wikidata":"https://www.wikidata.org/wiki/Q1983852","display_name":"Virtual actor","level":3,"score":0.2517000138759613},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.2502000033855438}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.26316","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.26316","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.2605.26316","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.26316","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Controllable":[0],"and":[1,18,22,49,58,63,67,92,113,166,209],"physically":[2],"grounded":[3],"egocentric":[4,31,87],"video":[5,29,83],"generation":[6,32,88],"is":[7,33,38,159],"essential":[8],"for":[9,86],"embodied":[10],"agents":[11],"to":[12,27,41,45],"reason":[13],"about":[14],"how":[15],"their":[16,162],"own":[17],"others'":[19],"actions":[20,54],"manifest":[21],"change":[23],"the":[24,36,42,52,65,68,75,133,145,156,179],"world.":[25],"Compared":[26],"generic":[28],"synthesis,":[30],"especially":[34],"challenging:":[35],"camera":[37,157],"tightly":[39],"coupled":[40],"actor,":[43],"leading":[44],"rapid":[46],"viewpoint":[47],"changes":[48],"frequent":[50],"self-occlusions;":[51],"underlying":[53],"are":[55,138,147,183],"subtle,":[56],"articulated,":[57],"often":[59],"only":[60],"partially":[61],"visible;":[62],"both":[64],"people":[66,143],"scene":[69,97,146,222],"state":[70],"must":[71],"evolve":[72],"consistently":[73],"with":[74,117,132],"specified":[76,160],"controls.":[77],"We":[78],"present":[79],"E$^3$C,":[80],"a":[81,107],"controllable":[82],"diffusion":[84],"framework":[85],"that":[89,191,200],"builds":[90],"structured":[91],"compact":[93],"conditions":[94],"disentangling":[95],"persistent":[96,193],"structure":[98],"from":[99,120],"human-driven":[100],"dynamics.":[101],"From":[102],"context":[103],"frames,":[104],"E$^3$C":[105,201],"constructs":[106],"semi-dense":[108],"point":[109,116],"cloud-based":[110],"3D":[111,163],"memory":[112,125],"augments":[114],"each":[115],"appearance":[118],"descriptors":[119],"video-VAE":[121],"features.":[122],"Rendering":[123],"this":[124],"into":[126],"target":[127,134],"viewpoints":[128],"produces":[129,192],"conditioning":[130],"aligned":[131],"frames.":[135],"Human":[136],"dynamics":[137],"modeled":[139],"separately.":[140],"The":[141],"observed":[142],"in":[144],"controlled":[148],"by":[149,161],"skeleton":[150],"renderings":[151],"(exo":[152],"human":[153,171,176,213],"control),":[154],"while":[155,218],"wearer":[158],"body":[164,181],"joints":[165],"6DoF":[167],"wrist":[168],"motion":[169,189],"(ego":[170],"control).":[172],"To":[173],"preserve":[174],"ego":[175,188,210],"control":[177,214],"when":[178],"wearer's":[180],"parts":[182],"invisible,":[184],"we":[185],"introduce":[186],"an":[187],"encoder":[190],"cross-attention":[194],"tokens.":[195],"Experiments":[196],"on":[197],"Nymeria":[198],"show":[199],"improves":[202],"visual":[203],"fidelity,":[204],"camera-motion":[205],"accuracy,":[206],"object":[207],"consistency,":[208],"&":[211],"exo":[212],"over":[215],"strong":[216],"baselines,":[217],"also":[219],"enabling":[220],"intuitive":[221],"editing.":[223]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-28T00:00:00"}