{"id":"https://openalex.org/W7156026834","doi":"https://doi.org/10.48550/arxiv.2604.22686","title":"SS3D: End2End Self-Supervised 3D from Web Videos","display_name":"SS3D: End2End Self-Supervised 3D from Web Videos","publication_year":2026,"publication_date":"2026-04-24","ids":{"openalex":"https://openalex.org/W7156026834","doi":"https://doi.org/10.48550/arxiv.2604.22686"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.22686","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.22686","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.2604.22686","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041291991","display_name":"Marwane Hariat","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hariat, Marwane","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013478881","display_name":"Gianni Franchi","orcid":"https://orcid.org/0000-0002-2184-1381"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Franchi, Gianni","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134682441","display_name":"David Filliat","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Filliat, David","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5083582547","display_name":"Antoine Manzanera","orcid":"https://orcid.org/0000-0001-5718-411X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Manzanera, Antoine","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/T10531","display_name":"Advanced Vision and Imaging","score":0.33739998936653137,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.33739998936653137,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.17239999771118164,"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":0.07980000227689743,"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/pipeline","display_name":"Pipeline (software)","score":0.42669999599456787},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.37450000643730164},{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.3650999963283539},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.36230000853538513},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.3614000082015991},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.3587999939918518},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.32510000467300415},{"id":"https://openalex.org/keywords/network-time-protocol","display_name":"Network Time Protocol","score":0.3111000061035156}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.73089998960495},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.42669999599456787},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.37450000643730164},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.3650999963283539},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.36230000853538513},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.3614000082015991},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.3587999939918518},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.32510000467300415},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32499998807907104},{"id":"https://openalex.org/C178148046","wikidata":"https://www.wikidata.org/wiki/Q217491","display_name":"Network Time Protocol","level":3,"score":0.3111000061035156},{"id":"https://openalex.org/C111424310","wikidata":"https://www.wikidata.org/wiki/Q5282669","display_name":"Dispose pattern","level":2,"score":0.29660001397132874},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29249998927116394},{"id":"https://openalex.org/C204854418","wikidata":"https://www.wikidata.org/wiki/Q1362921","display_name":"Polling","level":2,"score":0.28949999809265137},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.28610000014305115},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.2777000069618225},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.26919999718666077},{"id":"https://openalex.org/C2908650547","wikidata":"https://www.wikidata.org/wiki/Q20999234","display_name":"Intrinsics","level":2,"score":0.26649999618530273},{"id":"https://openalex.org/C132459708","wikidata":"https://www.wikidata.org/wiki/Q744069","display_name":"Extrapolation","level":2,"score":0.26100000739097595},{"id":"https://openalex.org/C36299963","wikidata":"https://www.wikidata.org/wiki/Q1369844","display_name":"Observability","level":2,"score":0.260699987411499},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.26019999384880066},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2572999894618988},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2556999921798706}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.22686","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.22686","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.2604.22686","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.22686","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0,116],"present":[1],"SS3D,":[2],"a":[3,25,33,49,76,93],"web-scale":[4],"SfM-based":[5],"self-supervision":[6,56],"pretraining":[7],"pipeline":[8],"for":[9,82],"feed-forward":[10],"3D":[11,36],"estimation":[12],"from":[13],"monocular":[14],"video.":[15],"Our":[16],"model":[17],"jointly":[18],"predicts":[19],"depth,":[20],"ego-motion,":[21],"and":[22,29,48,68,84,87,108,121],"intrinsics":[23],"in":[24],"single":[26,94],"forward":[27],"pass":[28],"is":[30,61],"trained/evaluated":[31],"as":[32],"coherent":[34],"end-to-end":[35],"estimator.":[37],"To":[38],"stabilize":[39],"joint":[40],"learning,":[41],"we":[42,72],"use":[43],"an":[44],"intrinsics-first":[45],"two-stage":[46],"schedule":[47],"unified":[50],"single-checkpoint":[51],"evaluation":[52],"protocol.":[53],"Scaling":[54],"SfM":[55],"to":[57,64],"unconstrained":[58],"web":[59],"video":[60],"challenging":[62],"due":[63],"weak":[65],"multi-view":[66,77],"observability":[67],"strong":[69,104],"corpus":[70],"heterogeneity;":[71],"address":[73],"these":[74],"with":[75,88],"signal":[78],"proxy":[79],"(MVS)":[80],"used":[81],"filtering":[83],"curriculum":[85],"sampling,":[86],"expert":[89],"training":[90],"distilled":[91],"into":[92],"student.":[95],"Pretraining":[96],"on":[97],"YouTube-8M":[98],"(~100M":[99],"frames":[100],"after":[101],"filtering)":[102],"yields":[103],"cross-domain":[105],"zero-shot":[106],"transfer":[107],"improved":[109],"fine-tuning":[110],"performance":[111],"over":[112],"prior":[113],"self-supervised":[114],"baselines.":[115],"release":[117],"the":[118],"pretrained":[119],"checkpoint":[120],"code.":[122]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-28T00:00:00"}
