{"id":"https://openalex.org/W4403797262","doi":"https://doi.org/10.48550/arxiv.2409.18128","title":"FlowTurbo: Towards Real-time Flow-Based Image Generation with Velocity Refiner","display_name":"FlowTurbo: Towards Real-time Flow-Based Image Generation with Velocity Refiner","publication_year":2024,"publication_date":"2024-09-26","ids":{"openalex":"https://openalex.org/W4403797262","doi":"https://doi.org/10.48550/arxiv.2409.18128"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2409.18128","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2409.18128","pdf_url":"https://arxiv.org/pdf/2409.18128","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2409.18128","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060902476","display_name":"Wenliang Zhao","orcid":"https://orcid.org/0000-0002-0920-1576"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zhao, Wenliang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028378330","display_name":"Minglei Shi","orcid":"https://orcid.org/0000-0002-1108-4233"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shi, Minglei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100931538","display_name":"Xumin Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Xumin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066557235","display_name":"Jie Zhou","orcid":"https://orcid.org/0000-0002-3836-4163"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Jie","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5103740674","display_name":"Jiwen Lu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lu, Jiwen","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5060902476"],"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":0.987500011920929,"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":0.987500011920929,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9850000143051147,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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":0.9779999852180481,"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/image","display_name":"Image (mathematics)","score":0.6341995596885681},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.5625313520431519},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.5075820684432983},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4623912572860718},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37227118015289307},{"id":"https://openalex.org/keywords/engineering-drawing","display_name":"Engineering drawing","score":0.36385589838027954},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34493759274482727},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2659979462623596},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2345699667930603},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.17905357480049133}],"concepts":[{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6341995596885681},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.5625313520431519},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.5075820684432983},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4623912572860718},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37227118015289307},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.36385589838027954},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34493759274482727},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2659979462623596},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2345699667930603},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.17905357480049133}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2409.18128","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2409.18128","pdf_url":"https://arxiv.org/pdf/2409.18128","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2409.18128","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2409.18128","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":"pmh:oai:arXiv.org:2409.18128","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2409.18128","pdf_url":"https://arxiv.org/pdf/2409.18128","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2755342338","https://openalex.org/W2779427294","https://openalex.org/W2775347418","https://openalex.org/W2625805835","https://openalex.org/W2079911747","https://openalex.org/W3116076068","https://openalex.org/W3003936178","https://openalex.org/W2145652935","https://openalex.org/W2563206327","https://openalex.org/W2069885731"],"abstract_inverted_index":{"Building":[0],"on":[1,184,189,199],"the":[2,38,56,90,98,106,111,118,121,152,216,222],"success":[3],"of":[4,17,29,71,92,123,182,197,208],"diffusion":[5,61],"models":[6,11,19,44,62,74,94,113],"in":[7,27,110],"visual":[8,31],"generation,":[9],"flow-based":[10,43,72,93,112,175],"reemerge":[12],"as":[13,165],"another":[14],"prominent":[15],"family":[16],"generative":[18,73],"that":[20,105],"have":[21],"achieved":[22],"competitive":[23],"or":[24],"better":[25],"performance":[26],"terms":[28],"both":[30],"quality":[32],"and":[33,139,187,206,220],"inference":[34,145],"speed.":[35],"By":[36,170],"learning":[37],"velocity":[39,107,124,128],"field":[40],"through":[41],"flow-matching,":[42],"tend":[45],"to":[46,88,142],"produce":[47],"a":[48,84,126,136],"straighter":[49],"sampling":[50,57,70,91,99,154],"trajectory,":[51],"which":[52,64],"is":[53,104,226],"advantageous":[54],"during":[55,117],"process.":[58],"However,":[59],"unlike":[60],"for":[63,161],"fast":[65],"samplers":[66],"are":[67],"well-developed,":[68],"efficient":[69],"has":[75],"been":[76],"rarely":[77],"explored.":[78],"In":[79],"this":[80],"paper,":[81],"we":[82,131,177],"propose":[83],"framework":[85],"called":[86],"FlowTurbo":[87,148,172,193],"accelerate":[89],"while":[95],"still":[96],"enhancing":[97],"quality.":[100],"Our":[101],"primary":[102],"observation":[103],"predictor's":[108],"outputs":[109],"will":[114],"become":[115],"stable":[116],"sampling,":[119],"enabling":[120],"estimation":[122],"via":[125],"lightweight":[127],"refiner.":[129],"Additionally,":[130],"introduce":[132],"several":[133],"techniques":[134],"including":[135],"pseudo":[137],"corrector":[138],"sample-aware":[140],"compilation":[141],"further":[143],"reduce":[144],"time.":[146],"Since":[147],"does":[149],"not":[150],"change":[151],"multi-step":[153],"paradigm,":[155],"it":[156],"can":[157],"be":[158],"effectively":[159],"applied":[160],"various":[162],"tasks":[163],"such":[164],"image":[166,218],"editing,":[167],"inpainting,":[168],"etc.":[169],"integrating":[171],"into":[173],"different":[174],"models,":[176],"obtain":[178],"an":[179,195],"acceleration":[180],"ratio":[181],"53.1%$\\sim$58.3%":[183],"class-conditional":[185],"generation":[186,219],"29.8%$\\sim$38.5%":[188],"text-to-image":[190],"generation.":[191],"Notably,":[192],"reaches":[194],"FID":[196,207],"2.12":[198],"ImageNet":[200],"with":[201,210],"100":[202],"(ms":[203,212],"/":[204,213],"img)":[205],"3.93":[209],"38":[211],"img),":[214],"achieving":[215],"real-time":[217],"establishing":[221],"new":[223],"state-of-the-art.":[224],"Code":[225],"available":[227],"at":[228],"https://github.com/shiml20/FlowTurbo.":[229]},"counts_by_year":[],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
