{"id":"https://openalex.org/W7163198977","doi":"https://doi.org/10.48550/arxiv.2606.02068","title":"Fast and Lightweight Novel View Synthesis with Differentiable Multiplane Image","display_name":"Fast and Lightweight Novel View Synthesis with Differentiable Multiplane Image","publication_year":2026,"publication_date":"2026-06-01","ids":{"openalex":"https://openalex.org/W7163198977","doi":"https://doi.org/10.48550/arxiv.2606.02068"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.02068","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.02068","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.2606.02068","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005848045","display_name":"Kaidi Zhang","orcid":"https://orcid.org/0000-0002-1453-0681"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Kaidi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5077616758","display_name":"Zhu Guanxu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, Guanxu","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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.38040000200271606,"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"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.38040000200271606,"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"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.22200000286102295,"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":0.1573999971151352,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/differentiable-function","display_name":"Differentiable function","score":0.729200005531311},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.6976000070571899},{"id":"https://openalex.org/keywords/view-synthesis","display_name":"View synthesis","score":0.6305000185966492},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.48649999499320984},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.46389999985694885},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.31709998846054077},{"id":"https://openalex.org/keywords/image-synthesis","display_name":"Image synthesis","score":0.3010999858379364},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.30059999227523804}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7967000007629395},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.729200005531311},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6976000070571899},{"id":"https://openalex.org/C2776449333","wikidata":"https://www.wikidata.org/wiki/Q7928781","display_name":"View synthesis","level":3,"score":0.6305000185966492},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5012000203132629},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.48649999499320984},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.46389999985694885},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4537000060081482},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.31709998846054077},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3116999864578247},{"id":"https://openalex.org/C2989087649","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Image synthesis","level":3,"score":0.3010999858379364},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.30059999227523804},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.2985999882221222},{"id":"https://openalex.org/C2780615836","wikidata":"https://www.wikidata.org/wiki/Q2471869","display_name":"USable","level":2,"score":0.2953999936580658},{"id":"https://openalex.org/C44185422","wikidata":"https://www.wikidata.org/wiki/Q6002064","display_name":"Image-based modeling and rendering","level":3,"score":0.2874999940395355},{"id":"https://openalex.org/C134786449","wikidata":"https://www.wikidata.org/wiki/Q3391255","display_name":"Planar","level":2,"score":0.28130000829696655},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.27390000224113464},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2732999920845032},{"id":"https://openalex.org/C89720835","wikidata":"https://www.wikidata.org/wiki/Q1531701","display_name":"Global illumination","level":3,"score":0.2680000066757202},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.2676999866962433},{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.25609999895095825},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.25600001215934753},{"id":"https://openalex.org/C173552908","wikidata":"https://www.wikidata.org/wiki/Q1366289","display_name":"Graphics pipeline","level":4,"score":0.2524999976158142},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.2513999938964844}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.02068","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.02068","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.2606.02068","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.02068","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":[{"display_name":"Industry, innovation and infrastructure","score":0.43823954463005066,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Recently,":[0],"novel":[1,112],"view":[2,113],"synthesis":[3,188],"has":[4],"witnessed":[5],"remarkable":[6],"progress,":[7],"with":[8,167],"mainstream":[9],"methods":[10],"such":[11],"as":[12],"Neural":[13],"Radiance":[14],"Fields":[15],"(NeRF)":[16],"and":[17,34,37,141,160,177],"3D":[18],"Gaussian":[19],"Splatting":[20],"(3DGS)":[21],"delivering":[22],"impressive":[23],"results.":[24,165],"However,":[25],"these":[26,92],"approaches":[27],"often":[28,52],"struggle":[29],"to":[30,54],"balance":[31],"rendering":[32,164],"speed":[33],"model":[35,183],"size,":[36,184],"their":[38],"optimization-based":[39],"training":[40],"can":[41],"be":[42],"highly":[43],"time-consuming.":[44],"Furthermore,":[45],"they":[46],"typically":[47],"rely":[48],"on":[49,87,190],"dense":[50],"observations,":[51],"failing":[53],"produce":[55],"satisfactory":[56],"results":[57],"under":[58],"sparse-view":[59],"conditions.":[60],"Although":[61],"feed-forward":[62],"reconstruction":[63],"significantly":[64],"reduces":[65],"the":[66,96,137,155,161],"optimization":[67,157],"time":[68],"of":[69,76,107,139,158,163,181],"3DGS,":[70],"its":[71,84,182],"pixel-aligned":[72],"formulation":[73],"generates":[74],"millions":[75],"Gaussians":[77],"from":[78],"a":[79,104,168],"single":[80],"image,":[81],"severely":[82],"limiting":[83],"practical":[85],"deployment":[86],"mobile":[88],"devices.":[89],"To":[90,135],"address":[91,136],"limitations,":[93],"we":[94,122,147],"revisit":[95],"Multiplane":[97],"Image(MPI)":[98],"representation,":[99],"which":[100,151],"represents":[101],"scenes":[102],"using":[103],"compact":[105],"set":[106],"planar":[108],"layers":[109],"for":[110,127],"efficient":[111],"synthesis.":[114],"Leveraging":[115],"recent":[116],"advances":[117],"in":[118,143,153],"visual":[119],"foundation":[120],"models,":[121],"utilize":[123],"predicted":[124],"point":[125],"maps":[126],"reliable":[128],"geometric":[129],"initialization,":[130],"followed":[131],"by":[132],"differentiable":[133,156],"optimization.":[134],"issues":[138],"holes":[140],"artifacts":[142],"sparsely":[144],"initialized":[145],"MPI,":[146],"introduce":[148],"one-step":[149],"diffusion,":[150],"participates":[152],"both":[154],"MPI":[159],"postprocessing":[162],"Compared":[166],"representative":[169],"GS-based":[170],"method,":[171],"our":[172],"approach":[173],"is":[174],"30.7%":[175],"faster":[176],"uses":[178],"only":[179],"14.8%":[180],"while":[185],"achieving":[186],"competitive":[187],"quality":[189],"front-view":[191],"scenarios":[192]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-03T00:00:00"}
