{"id":"https://openalex.org/W7161709119","doi":"https://doi.org/10.48550/arxiv.2605.16937","title":"DEVIS-GRPO: Unleashing GRPO on Dynamic Extreme View Synthesis","display_name":"DEVIS-GRPO: Unleashing GRPO on Dynamic Extreme View Synthesis","publication_year":2026,"publication_date":"2026-05-16","ids":{"openalex":"https://openalex.org/W7161709119","doi":"https://doi.org/10.48550/arxiv.2605.16937"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.16937","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.16937","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2605.16937","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136473029","display_name":"Yi Zuo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zuo, Yi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136479219","display_name":"Huimin Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Huimin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136467382","display_name":"Lingling Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Lingling","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136457598","display_name":"Fang Liu","orcid":"https://orcid.org/0009-0000-0653-0692"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Fang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136464307","display_name":"Licheng Jiao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiao, Licheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136465050","display_name":"Qing Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Qing","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":0.49219998717308044,"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":0.49219998717308044,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.13099999725818634,"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":0.11620000004768372,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.597100019454956},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5378999710083008},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5055000185966492},{"id":"https://openalex.org/keywords/view-synthesis","display_name":"View synthesis","score":0.4142000079154968},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.40529999136924744}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7710999846458435},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.597100019454956},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5378999710083008},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5083000063896179},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5055000185966492},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48420000076293945},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.42340001463890076},{"id":"https://openalex.org/C2776449333","wikidata":"https://www.wikidata.org/wiki/Q7928781","display_name":"View synthesis","level":3,"score":0.4142000079154968},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.40529999136924744},{"id":"https://openalex.org/C52740198","wikidata":"https://www.wikidata.org/wiki/Q1539564","display_name":"Importance sampling","level":3,"score":0.3569999933242798}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.16937","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.16937","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.16937","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.16937","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":{"Trajectory-controlled":[0],"video":[1,8,33,55,66],"generation":[2],"has":[3],"become":[4],"essential":[5],"for":[6,27,53,63,142],"controllable":[7],"generation.":[9,67],"While":[10],"current":[11],"methods":[12],"perform":[13],"well":[14],"under":[15],"small-view":[16,91],"camera":[17,86],"motions,":[18],"they":[19],"degrade":[20],"significantly":[21],"with":[22],"large-view":[23,85,117],"motions.":[24],"Existing":[25],"solutions":[26],"extreme-view":[28],"synthesis":[29],"typically":[30],"require":[31],"dedicated":[32],"pairs,":[34],"demanding":[35],"substantial":[36],"annotation":[37],"effort.":[38],"To":[39],"address":[40],"these":[41],"limitations,":[42],"we":[43,131,159],"propose":[44],"Dynamic":[45,78],"Extreme":[46,79],"VIew":[47,80],"Synthesis-GRPO":[48],"(DEVIS-GRPO),":[49],"a":[50,73,133],"GRPO-based":[51],"framework":[52],"trajectory-controlled":[54],"generation,":[56],"the":[57,106,110,147,172],"first":[58],"online":[59],"policy":[60,111],"gradient":[61],"method":[62,94,174],"extreme":[64],"view":[65],"Central":[68],"to":[69,108,138],"our":[70,154],"approach":[71],"is":[72,181],"novel":[74],"sampling":[75,122],"strategy:":[76],"Accumulative":[77],"Synthesis":[81],"(ADEVIS),":[82],"which":[83],"achieves":[84],"motions":[87],"by":[88,113,125,183],"progressively":[89],"accumulating":[90],"increments.":[92],"This":[93],"delivers":[95],"two":[96],"key":[97],"advantages:":[98],"1)":[99],"enhanced":[100],"training":[101],"efficiency,":[102],"as":[103],"it":[104],"eliminates":[105],"need":[107],"warm-start":[109],"model":[112,143],"collecting":[114],"expensive":[115],"paired":[116],"videos,":[118],"and":[119,150,167],"2)":[120],"increased":[121],"diversity,":[123],"achieved":[124],"flexibly":[126],"varying":[127],"trajectory":[128],"configurations.":[129],"Finally,":[130],"designed":[132],"multi-level":[134],"consistency-quality":[135],"reward":[136],"function":[137],"select":[139],"high-quality":[140],"samples":[141],"optimization.":[144],"Experiments":[145],"on":[146],"Kubric-4D,":[148,158],"iPhone,":[149,179],"DL3DV":[151],"datasets":[152],"demonstrate":[153],"method's":[155],"superiority.":[156],"On":[157,178],"achieve":[160],"relative":[161],"improvements":[162],"of":[163],"21.57%":[164],"in":[165,169,175],"PSNR":[166],"7.31%":[168],"SSIM":[170],"over":[171],"second-best":[173],"non-occlusion":[176],"areas.":[177],"LPIPS":[180],"reduced":[182],"18.56%.":[184]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-20T00:00:00"}