{"id":"https://openalex.org/W4411336874","doi":"https://doi.org/10.1109/tpami.2025.3576851","title":"Flow-Anything: Learning Real-World Optical Flow Estimation From Large-Scale Single-View Images","display_name":"Flow-Anything: Learning Real-World Optical Flow Estimation From Large-Scale Single-View Images","publication_year":2025,"publication_date":"2025-06-16","ids":{"openalex":"https://openalex.org/W4411336874","doi":"https://doi.org/10.1109/tpami.2025.3576851","pmid":"https://pubmed.ncbi.nlm.nih.gov/40522789"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2025.3576851","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3576851","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109786803","display_name":"Yingping Liang","orcid":"https://orcid.org/0000-0001-5385-0015"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingping Liang","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","School of Computer Science and Technology, Beijing Institute of Technology, China"],"raw_orcid":"https://orcid.org/0000-0001-5385-0015","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100738025","display_name":"Ying Fu","orcid":"https://orcid.org/0000-0002-6677-694X"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Fu","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","School of Computer Science and Technology, Beijing Institute of Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-6677-694X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yutao Hu","orcid":"https://orcid.org/0000-0002-1287-6515"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yutao Hu","raw_affiliation_strings":["Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications, Southeast University, Ministry of Education, Nanjing, China","School of Computer Science and Engineering, Southeast University, China"],"raw_orcid":"https://orcid.org/0000-0002-1287-6515","affiliations":[{"raw_affiliation_string":"Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications, Southeast University, Ministry of Education, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wenqi Shao","orcid":"https://orcid.org/0000-0003-3781-4086"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqi Shao","raw_affiliation_strings":["Shanghai Artificial Intelligence Laboratory, Shanghai, China","Shanghai Artificial Intelligence Laboratory, China"],"raw_orcid":"https://orcid.org/0000-0003-3781-4086","affiliations":[{"raw_affiliation_string":"Shanghai Artificial Intelligence Laboratory, Shanghai, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4391012619"]},{"raw_affiliation_string":"Shanghai Artificial Intelligence Laboratory, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4391012619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100440985","display_name":"Jiaming Liu","orcid":"https://orcid.org/0009-0003-9699-1987"},"institutions":[{"id":"https://openalex.org/I2801461538","display_name":"Shanghai Theatre Academy","ror":"https://ror.org/02vtjfj13","country_code":"CN","type":"education","lineage":["https://openalex.org/I2801461538"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaming Liu","raw_affiliation_strings":["Tiamat AI, Shanghai, China","Tiamat AI, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tiamat AI, Shanghai, China","institution_ids":["https://openalex.org/I2801461538"]},{"raw_affiliation_string":"Tiamat AI, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103145743","display_name":"Debing Zhang","orcid":"https://orcid.org/0000-0003-4048-0531"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Debing Zhang","raw_affiliation_strings":["Xiaohongshu, Shanghai, China","Xiaohongshu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiaohongshu, Shanghai, China","institution_ids":[]},{"raw_affiliation_string":"Xiaohongshu, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6649,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.90200448,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"47","issue":"10","first_page":"8435","last_page":"8452"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9987000226974487,"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6767924427986145},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.6698340177536011},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5950906872749329},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.5702853202819824},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5285873413085938},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5055282115936279},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32367396354675293},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27919164299964905},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1620330810546875},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09856030344963074},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.07977673411369324}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6767924427986145},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.6698340177536011},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5950906872749329},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.5702853202819824},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5285873413085938},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5055282115936279},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32367396354675293},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27919164299964905},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1620330810546875},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09856030344963074},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.07977673411369324},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2025.3576851","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3576851","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:40522789","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40522789","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2575069074","display_name":null,"funder_award_id":"62088101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6513703716","display_name":null,"funder_award_id":"62331006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7947020025","display_name":null,"funder_award_id":"2022YFC3300704","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8521839720","display_name":null,"funder_award_id":"62171038","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":89,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W764651262","https://openalex.org/W1451186914","https://openalex.org/W1513100184","https://openalex.org/W1861492603","https://openalex.org/W1921093919","https://openalex.org/W1923184257","https://openalex.org/W2109352895","https://openalex.org/W2113221323","https://openalex.org/W2115579991","https://openalex.org/W2147253850","https://openalex.org/W2150066425","https://openalex.org/W2158919891","https://openalex.org/W2340897893","https://openalex.org/W2470139095","https://openalex.org/W2560474170","https://openalex.org/W2889986507","https://openalex.org/W2904340070","https://openalex.org/W2944474001","https://openalex.org/W2962836156","https://openalex.org/W2963782415","https://openalex.org/W2963891416","https://openalex.org/W2964156315","https://openalex.org/W2967043539","https://openalex.org/W2980116241","https://openalex.org/W2989777804","https://openalex.org/W3007471652","https://openalex.org/W3016870021","https://openalex.org/W3034801905","https://openalex.org/W3034896357","https://openalex.org/W3035305184","https://openalex.org/W3035564946","https://openalex.org/W3035574168","https://openalex.org/W3090298435","https://openalex.org/W3108086282","https://openalex.org/W3109908659","https://openalex.org/W3109923092","https://openalex.org/W3132270109","https://openalex.org/W3147597595","https://openalex.org/W3174752334","https://openalex.org/W3175180763","https://openalex.org/W3175558068","https://openalex.org/W3176210901","https://openalex.org/W3176336346","https://openalex.org/W3184023119","https://openalex.org/W3189845786","https://openalex.org/W3202343472","https://openalex.org/W3204789496","https://openalex.org/W3215023725","https://openalex.org/W4200150166","https://openalex.org/W4214610961","https://openalex.org/W4214748949","https://openalex.org/W4226151448","https://openalex.org/W4281563989","https://openalex.org/W4288242633","https://openalex.org/W4292793994","https://openalex.org/W4294255647","https://openalex.org/W4295409451","https://openalex.org/W4312304352","https://openalex.org/W4312563719","https://openalex.org/W4312636847","https://openalex.org/W4312790276","https://openalex.org/W4312797714","https://openalex.org/W4312815172","https://openalex.org/W4312921869","https://openalex.org/W4312933868","https://openalex.org/W4313306230","https://openalex.org/W4319300199","https://openalex.org/W4378375546","https://openalex.org/W4385259380","https://openalex.org/W4386047772","https://openalex.org/W4386066345","https://openalex.org/W4386076228","https://openalex.org/W4388469759","https://openalex.org/W4390871855","https://openalex.org/W4390872458","https://openalex.org/W4390872480","https://openalex.org/W4390873046","https://openalex.org/W4390873135","https://openalex.org/W4391467999","https://openalex.org/W4393154033","https://openalex.org/W4393405457","https://openalex.org/W4399993978","https://openalex.org/W4400876846","https://openalex.org/W4402727132","https://openalex.org/W4402727359","https://openalex.org/W4402943940","https://openalex.org/W4403278203","https://openalex.org/W4405373584"],"related_works":["https://openalex.org/W2023355163","https://openalex.org/W4386083130","https://openalex.org/W3111737715","https://openalex.org/W2069571255","https://openalex.org/W2117442182","https://openalex.org/W2081707527","https://openalex.org/W1975907365","https://openalex.org/W3125517176","https://openalex.org/W4367623556","https://openalex.org/W4385998088"],"abstract_inverted_index":{"Optical":[0],"flow":[1,62,104,164],"estimation":[2,63,96],"is":[3,21],"a":[4,12,53,85,89,110,122,188],"crucial":[5],"subfield":[6],"of":[7,42,161,195],"computer":[8],"vision,":[9],"serving":[10],"as":[11,187],"foundation":[13,189],"for":[14,27,144],"video":[15,198],"tasks.":[16,199],"However,":[17],"the":[18,40,69,128,132,154,159,172,193],"real-world":[19,36,169],"robustness":[20],"limited":[22],"by":[23],"animated":[24],"synthetic":[25,181],"datasets":[26,143],"training.":[28],"This":[29,98],"introduces":[30],"domain":[31],"gaps":[32],"when":[33],"applied":[34],"to":[35,59,77,101,126,140],"applications":[37],"and":[38,105,121,177,191],"limits":[39],"benefits":[41,160],"scaling":[43],"up":[44],"datasets.":[45,182],"To":[46],"address":[47],"these":[48],"challenges,":[49],"we":[50,83,114,157],"propose":[51],"Flow-Anything,":[52],"large-scale":[54,147,168],"data":[55,79,166],"generation":[56],"framework":[57],"designed":[58],"learn":[60],"optical":[61,103,163],"from":[64,146,167],"any":[65],"single-view":[66,86,148],"images":[67,108],"in":[68,131],"real":[70],"world.":[71],"We":[72],"employ":[73],"two":[74,136],"effective":[75],"steps":[76,137],"make":[78],"scaling-up":[80],"promising.":[81],"First,":[82],"convert":[84],"image":[87],"into":[88],"3D":[90,133],"representation":[91],"using":[92],"advanced":[93,174],"monocular":[94],"depth":[95],"networks.":[97],"allows":[99],"us":[100,139],"render":[102],"novel":[106],"view":[107],"under":[109],"virtual":[111],"camera.":[112],"Second,":[113],"develop":[115],"an":[116],"Object-Independent":[117],"Volume":[118],"Rendering":[119],"module":[120,125],"Depth-Aware":[123],"Inpainting":[124],"model":[127,190],"dynamic":[129],"objects":[130],"representation.":[134],"These":[135],"allow":[138],"generate":[141],"realistic":[142],"training":[145,165],"images,":[149,170],"namely":[150],"FA-Flow":[151],"Dataset.":[152],"For":[153],"first":[155],"time,":[156],"demonstrate":[158],"generating":[162],"outperforming":[171],"most":[173],"unsupervised":[175],"methods":[176,179],"supervised":[178],"on":[180],"Moreover,":[183],"our":[184],"models":[185],"serve":[186],"enhance":[192],"performance":[194],"various":[196],"downstream":[197]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-24T13:16:06.693445","created_date":"2025-10-10T00:00:00"}
