{"id":"https://openalex.org/W2994893696","doi":null,"title":"Image-guided Neural Object Rendering","display_name":"Image-guided Neural Object Rendering","publication_year":2020,"publication_date":"2020-04-30","ids":{"openalex":"https://openalex.org/W2994893696","mag":"2994893696"},"language":"en","primary_location":{"id":"pmh:oai:pure.mpg.de:item_3280721","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/21.11116/0000-0007-D431-2","pdf_url":"http://hdl.handle.net/21.11116/0000-0007-D431-2","source":{"id":"https://openalex.org/S4306400654","display_name":"MPG.PuRe (Max Planck Society)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I149899117","host_organization_name":"Max Planck Society","host_organization_lineage":["https://openalex.org/I149899117"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Learning Representations","raw_type":"info:eu-repo/semantics/conferenceObject"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/21.11116/0000-0007-D431-2","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036392768","display_name":"Justus Thies","orcid":"https://orcid.org/0000-0002-0056-9825","observed_orcids":["https://orcid.org/0000-0002-0056-9825"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Justus Thies","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-0056-9825","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005789795","display_name":"Michael Zollh\u00f6fer","orcid":"https://orcid.org/0000-0003-1219-0625","observed_orcids":["https://orcid.org/0000-0003-1219-0625"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michael Zollh\u00f6fer","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-1219-0625","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020664641","display_name":"Christian Theobalt","orcid":"https://orcid.org/0000-0001-6104-6625","observed_orcids":["https://orcid.org/0000-0001-6104-6625"]},"institutions":[{"id":"https://openalex.org/I149899117","display_name":"Max Planck Society","ror":"https://ror.org/01hhn8329","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I149899117"]},{"id":"https://openalex.org/I4210109712","display_name":"Max Planck Institute for Informatics","ror":"https://ror.org/01w19ak89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Theobalt","raw_affiliation_strings":["Computer Graphics, MPI for Informatics, Max Planck Society"],"raw_orcid":"https://orcid.org/0000-0001-6104-6625","affiliations":[{"raw_affiliation_string":"Computer Graphics, MPI for Informatics, Max Planck Society","institution_ids":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053580386","display_name":"Marc Stamminger","orcid":"https://orcid.org/0000-0001-8699-3442","observed_orcids":["https://orcid.org/0000-0001-8699-3442"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marc Stamminger","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-8699-3442","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5088583491","display_name":"Matthias Nie\u00dfner","orcid":"https://orcid.org/0000-0001-6093-5199","observed_orcids":["https://orcid.org/0000-0001-6093-5199"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Matthias Nie\u00dfner","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-6093-5199","affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3556,"has_fulltext":true,"cited_by_count":26,"citation_normalized_percentile":{"value":0.91452733,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":99},"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":0.6068999767303467,"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"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.6068999767303467,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.23000000417232513,"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":0.07530000060796738,"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/neural-rendering","display_name":"neural rendering","score":0.6650000214576721},{"id":"https://openalex.org/keywords/image-based-rendering","display_name":"image-based rendering","score":0.7889999747276306},{"id":"https://openalex.org/keywords/specular-highlights","display_name":"specular highlights","score":0.8679999709129333},{"id":"https://openalex.org/keywords/multi-view-stereo-reconstruction","display_name":"multi-view stereo reconstruction","score":0.8029999732971191},{"id":"https://openalex.org/keywords/image-warping","display_name":"image warping","score":0.7160000205039978},{"id":"https://openalex.org/keywords/image-composition","display_name":"image composition","score":0.48399999737739563},{"id":"https://openalex.org/keywords/virtual-and-augmented-reality","display_name":"virtual and augmented reality","score":0.7480000257492065}],"concepts":[{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.8036067485809326},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.797522783279419},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7931125164031982},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7833573818206787},{"id":"https://openalex.org/C44185422","wikidata":"https://www.wikidata.org/wiki/Q6002064","display_name":"Image-based modeling and rendering","level":3,"score":0.7292662262916565},{"id":"https://openalex.org/C157202957","wikidata":"https://www.wikidata.org/wiki/Q1659609","display_name":"Image warping","level":2,"score":0.545005738735199},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.5096795558929443},{"id":"https://openalex.org/C2776449333","wikidata":"https://www.wikidata.org/wiki/Q7928781","display_name":"View synthesis","level":3,"score":0.4767652153968811},{"id":"https://openalex.org/C36816356","wikidata":"https://www.wikidata.org/wiki/Q16911860","display_name":"3D rendering","level":3,"score":0.4340440034866333},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4314896762371063}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:pure.mpg.de:item_3280721","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/21.11116/0000-0007-D431-2","pdf_url":"http://hdl.handle.net/21.11116/0000-0007-D431-2","source":{"id":"https://openalex.org/S4306400654","display_name":"MPG.PuRe (Max Planck Society)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I149899117","host_organization_name":"Max Planck Society","host_organization_lineage":["https://openalex.org/I149899117"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Learning Representations","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"mag:2994893696","doi":null,"is_oa":false,"landing_page_url":"https://pure.mpg.de/pubman/item/item_3280721_2/component/file_3327777/image_guided_neural_object_rendering.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:pure.mpg.de:item_3280721","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/21.11116/0000-0007-D431-2","pdf_url":"http://hdl.handle.net/21.11116/0000-0007-D431-2","source":{"id":"https://openalex.org/S4306400654","display_name":"MPG.PuRe (Max Planck Society)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I149899117","host_organization_name":"Max Planck Society","host_organization_lineage":["https://openalex.org/I149899117"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Learning Representations","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G2898806747","display_name":"Scan2CAD: Learning to Digitize the Real World","funder_award_id":"804724","funder_id":"https://openalex.org/F4320338335","funder_display_name":"H2020 European Research Council"},{"id":"https://openalex.org/G4769437042","display_name":"Closing the 4D Real World Reconstruction Loop","funder_award_id":"770784","funder_id":"https://openalex.org/F4320338335","funder_display_name":"H2020 European Research Council"},{"id":"https://openalex.org/G5640866529","display_name":"Performance Capture of the Real World in Motion","funder_award_id":"335545","funder_id":"https://openalex.org/F4320338352","funder_display_name":"FP7 Ideas: European Research Council"}],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320336290","display_name":"Institute for Advanced Study, Technische Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05fj6by70"},{"id":"https://openalex.org/F4320338335","display_name":"H2020 European Research Council","ror":"https://ror.org/0472cxd90"},{"id":"https://openalex.org/F4320338352","display_name":"FP7 Ideas: European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2994893696.pdf","grobid_xml":"https://content.openalex.org/works/W2994893696.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W1488812736","https://openalex.org/W1555072979","https://openalex.org/W1776042733","https://openalex.org/W1812925652","https://openalex.org/W1901129140","https://openalex.org/W1959608418","https://openalex.org/W1992642990","https://openalex.org/W1994246617","https://openalex.org/W2071906076","https://openalex.org/W2079686637","https://openalex.org/W2089649030","https://openalex.org/W2098840813","https://openalex.org/W2099266232","https://openalex.org/W2099471712","https://openalex.org/W2099940712","https://openalex.org/W2100495367","https://openalex.org/W2122585444","https://openalex.org/W2124313187","https://openalex.org/W2125389028","https://openalex.org/W2140950877","https://openalex.org/W2146721395","https://openalex.org/W2153903029","https://openalex.org/W2156116778","https://openalex.org/W2160014001","https://openalex.org/W2163446794","https://openalex.org/W2168676389","https://openalex.org/W2173520492","https://openalex.org/W2179918789","https://openalex.org/W2238402354","https://openalex.org/W2348664362","https://openalex.org/W2468336759","https://openalex.org/W2471962767","https://openalex.org/W2519683295","https://openalex.org/W2551052086","https://openalex.org/W2552465644","https://openalex.org/W2598591334","https://openalex.org/W2608400466","https://openalex.org/W2740851567","https://openalex.org/W2755205559","https://openalex.org/W2758175304","https://openalex.org/W2797046819","https://openalex.org/W2802758546","https://openalex.org/W2806833697","https://openalex.org/W2882982468","https://openalex.org/W2883907768","https://openalex.org/W2888164449","https://openalex.org/W2901982540","https://openalex.org/W2942074357","https://openalex.org/W2963557767","https://openalex.org/W2963869461","https://openalex.org/W2964121744","https://openalex.org/W3168116257","https://openalex.org/W4255872157","https://openalex.org/W4296580612","https://openalex.org/W6926378124"],"related_works":["https://openalex.org/W2902492297","https://openalex.org/W3016007010","https://openalex.org/W7212219803","https://openalex.org/W2972258980","https://openalex.org/W3214712237","https://openalex.org/W2942074357","https://openalex.org/W2956958106","https://openalex.org/W2949825757","https://openalex.org/W4307773735","https://openalex.org/W7030366635"],"abstract_inverted_index":{"We":[0],"propose":[1,144],"a":[2,92,108,115,146,190,195],"learned":[3],"image-guided":[4,203],"rendering":[5,13],"technique":[6],"that":[7,150,198],"combines":[8],"the":[9,43,55,70,85,96,105,175,181,205,223,229],"benefits":[10],"of":[11,19,27,46,51,57,73,84,95,107,130,225,231],"image-based":[12,122],"and":[14,32,236],"GAN-based":[15],"image":[16],"synthesis.The":[17],"goal":[18],"our":[20,52,178,232],"method":[21],"is":[22,54,88],"to":[23,68,90,139,160,164,189,210,221],"generate":[24],"photo-realistic":[25,200],"re-renderings":[26],"reconstructed":[28],"objects":[29],"for":[30],"virtual":[31,37,39],"augmented":[33],"reality":[34],"applications":[35],"(e.g.,":[36],"showrooms,":[38],"tours":[40],"&":[41],"sightseeing,":[42],"digital":[44],"inspection":[45],"historical":[47],"artifacts).A":[48],"core":[49],"component":[50],"work":[53],"handling":[56],"view-dependent":[58,71,131,152,183],"effects.Specifically,":[59],"we":[60,78,143,157,193],"directly":[61],"train":[62],"an":[63,74,81],"object-specific":[64],"deep":[65,147],"neural":[66,148],"network":[67,149,197,206],"synthesize":[69],"appearance":[72,106,224],"object.As":[75],"input":[76],"data":[77],"are":[79,158],"using":[80],"RGB":[82],"video":[83,87],"object.This":[86],"used":[89],"reconstruct":[91],"proxy":[93],"geometry":[94],"object":[97,215],"via":[98],"multi-view":[99],"stereo.Based":[100],"on":[101,154,213,238,243],"this":[102,141,202],"3D":[103],"proxy,":[104],"captured":[109,226],"view":[110,118],"can":[111,169],"be":[112,170],"warped":[113],"into":[114,172],"new":[116,182],"target":[117,176],"as":[119,134,240,242],"in":[120,128],"classical":[121],"rendering.This":[123],"warping":[124],"assumes":[125],"diffuse":[126,165,167],"surfaces,":[127],"case":[129],"effects,":[132],"such":[133],"specular":[135],"highlights,":[136],"it":[137,218],"leads":[138],"artifacts.To":[140],"end,":[142],"EffectsNet,":[145],"predicts":[151],"effects.Based":[153],"these":[155],"estimations,":[156],"able":[159],"convert":[161],"observed":[162],"images":[163,168,188],"images.These":[166],"projected":[171],"other":[173],"views.In":[174],"view,":[177],"pipeline":[179],"reinserts":[180],"effects.To":[184],"composite":[185],"multiple":[186],"reprojected":[187],"final":[191],"output,":[192],"learn":[194],"composition":[196],"outputs":[199],"results.Using":[201],"approach,":[204],"does":[207],"not":[208],"have":[209],"allocate":[211],"capacity":[212],"\"remembering\"":[214],"appearance,":[216],"instead":[217],"learns":[219],"how":[220],"combine":[222],"images.We":[227],"demonstrate":[228],"effectiveness":[230],"approach":[233],"both":[234],"qualitatively":[235],"quantitatively":[237],"synthetic":[239],"well":[241],"real":[244],"data.":[245]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":4}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2019-12-26T00:00:00"}