{"id":"https://openalex.org/W4416305079","doi":"https://doi.org/10.1145/3756863.3769701","title":"GS-Morph: Dynamic Novel View Synthesis via UDF-ARAP Gaussian Splat Morphing","display_name":"GS-Morph: Dynamic Novel View Synthesis via UDF-ARAP Gaussian Splat Morphing","publication_year":2025,"publication_date":"2025-11-18","ids":{"openalex":"https://openalex.org/W4416305079","doi":"https://doi.org/10.1145/3756863.3769701"},"language":"en","primary_location":{"id":"doi:10.1145/3756863.3769701","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3756863.3769701","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM SIGGRAPH European Conference on Visual Media Production","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3756863.3769701","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5120358771","display_name":"David St\u00e9phane Belemkoabga","orcid":"https://orcid.org/0009-0005-7352-8839"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"David St\u00e9phane Belemkoabga","raw_affiliation_strings":["INRIA, Rennes, France and Tyndall FX, Paris, France"],"raw_orcid":"https://orcid.org/0009-0005-7352-8839","affiliations":[{"raw_affiliation_string":"INRIA, Rennes, France and Tyndall FX, Paris, France","institution_ids":["https://openalex.org/I1326498283"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011824101","display_name":"Thomas Maugey","orcid":"https://orcid.org/0000-0002-7149-0823"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I4210133778","display_name":"Centre Inria de l'Universit\u00e9 de Rennes","ror":"https://ror.org/04040yw90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Thomas Maugey","raw_affiliation_strings":["INRIA, Rennes, France"],"raw_orcid":"https://orcid.org/0000-0002-7149-0823","affiliations":[{"raw_affiliation_string":"INRIA, Rennes, France","institution_ids":["https://openalex.org/I4210133778","https://openalex.org/I1326498283"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010468033","display_name":"Christine Guillemot","orcid":"https://orcid.org/0000-0003-1604-967X"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I4210133778","display_name":"Centre Inria de l'Universit\u00e9 de Rennes","ror":"https://ror.org/04040yw90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Christine Guillemot","raw_affiliation_strings":["INRIA, Rennes, France"],"raw_orcid":"https://orcid.org/0000-0003-1604-967X","affiliations":[{"raw_affiliation_string":"INRIA, Rennes, France","institution_ids":["https://openalex.org/I4210133778","https://openalex.org/I1326498283"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5120358771"],"corresponding_institution_ids":["https://openalex.org/I1326498283"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.32722789,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.4880000054836273,"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":0.4880000054836273,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.3709000051021576,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.041600000113248825,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/morphing","display_name":"Morphing","score":0.8299000263214111},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.6797000169754028},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.6686999797821045},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5401999950408936},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5394999980926514},{"id":"https://openalex.org/keywords/view-synthesis","display_name":"View synthesis","score":0.47519999742507935},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.43320000171661377},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.41019999980926514},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.36820000410079956}],"concepts":[{"id":"https://openalex.org/C50637493","wikidata":"https://www.wikidata.org/wiki/Q1136781","display_name":"Morphing","level":2,"score":0.8299000263214111},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7231000065803528},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6797000169754028},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6776000261306763},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.6686999797821045},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.646399974822998},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5401999950408936},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5394999980926514},{"id":"https://openalex.org/C2776449333","wikidata":"https://www.wikidata.org/wiki/Q7928781","display_name":"View synthesis","level":3,"score":0.47519999742507935},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.43320000171661377},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.41019999980926514},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39500001072883606},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.36820000410079956},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.34310001134872437},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.33869999647140503},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.33489999175071716},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.30880001187324524},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.3073999881744385},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.30630001425743103},{"id":"https://openalex.org/C150627866","wikidata":"https://www.wikidata.org/wiki/Q1076893","display_name":"Field of view","level":2,"score":0.3005000054836273},{"id":"https://openalex.org/C204366326","wikidata":"https://www.wikidata.org/wiki/Q3027650","display_name":"Deformation (meteorology)","level":2,"score":0.29989999532699585},{"id":"https://openalex.org/C181095308","wikidata":"https://www.wikidata.org/wiki/Q1541599","display_name":"Geometric primitive","level":2,"score":0.29809999465942383},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.2935999929904938},{"id":"https://openalex.org/C116921373","wikidata":"https://www.wikidata.org/wiki/Q2816483","display_name":"Real-time rendering","level":3,"score":0.2777000069618225},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.2635999917984009},{"id":"https://openalex.org/C146159030","wikidata":"https://www.wikidata.org/wiki/Q7625099","display_name":"Structure from motion","level":3,"score":0.2542000114917755},{"id":"https://openalex.org/C118317068","wikidata":"https://www.wikidata.org/wiki/Q2100760","display_name":"Point distribution model","level":2,"score":0.2526000142097473},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.25040000677108765}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3756863.3769701","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3756863.3769701","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM SIGGRAPH European Conference on Visual Media Production","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-05311279v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-05311279","pdf_url":"https://inria.hal.science/hal-05311279/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"CVMP 2025 - ACM SIGGRAPH European Conference on Visual Media Production, Dec 2025, London, United Kingdom. pp.1-10, &#x27E8;10.1145/3756863.3769701&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":{"id":"doi:10.1145/3756863.3769701","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3756863.3769701","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM SIGGRAPH European Conference on Visual Media Production","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1938204631","https://openalex.org/W1987648924","https://openalex.org/W2065906272","https://openalex.org/W2736384647","https://openalex.org/W3109585842","https://openalex.org/W3114462840","https://openalex.org/W3153220274","https://openalex.org/W3182714435","https://openalex.org/W3215472460","https://openalex.org/W4200382072","https://openalex.org/W4385318467","https://openalex.org/W4386065885","https://openalex.org/W4393159039","https://openalex.org/W4400141455","https://openalex.org/W4402713101","https://openalex.org/W4402715996","https://openalex.org/W4402727655","https://openalex.org/W4402727915","https://openalex.org/W4402775731","https://openalex.org/W4403908233"],"related_works":[],"abstract_inverted_index":{"Monocular":[0],"view":[1],"synthesis":[2,248],"in":[3,10,246],"dynamic":[4,55,234],"scenes":[5],"remains":[6],"a":[7,33,87,104,155,169,174,202,228,240],"fundamental":[8],"challenge":[9],"vision":[11],"and":[12,22,29,44,57,66,83,95,101,117,150,159,189,194,250],"graphics,":[13],"particularly":[14],"for":[15,232],"applications":[16],"like":[17],"augmented":[18],"reality,":[19],"virtual":[20],"production,":[21],"free-viewpoint":[23],"video.":[24],"Recovering":[25],"accurate":[26],"3D":[27,180],"geometry":[28,93,158],"realistic":[30],"rendering":[31],"from":[32,186],"single":[34],"RGB-D":[35,106,230],"stream":[36],"is":[37,184],"highly":[38],"ill-posed":[39],"due":[40],"to":[41,62,78,98,135,153],"partial,":[42],"noisy,":[43],"temporally":[45],"inconsistent":[46],"observations":[47],"under":[48],"non-rigid":[49],"motion.":[50],"Recent":[51],"methods,":[52],"such":[53],"as":[54],"NeRFs":[56],"4D":[58],"Gaussian":[59,181],"Splatting,":[60],"attempt":[61],"jointly":[63],"optimize":[64],"motion":[65,96],"geometry.":[67],"While":[68],"effective":[69],"near":[70],"training":[71,212],"trajectories,":[72],"these":[73],"entangled":[74],"designs":[75],"often":[76],"struggle":[77],"generalize":[79],"across":[80],"novel":[81,208,218],"views":[82,209,219],"times.":[84],"We":[85,225],"introduce":[86,201],"new":[88,229,241],"framework":[89],"that":[90],"explicitly":[91],"decouples":[92],"reconstruction":[94],"estimation":[97],"improve":[99],"robustness":[100],"generalization.":[102],"Given":[103],"monocular":[105,233],"sequence":[107,138],"with":[108,128,173,192],"known":[109],"poses,":[110],"we":[111,200],"first":[112],"extract":[113],"per-frame":[114],"point":[115],"clouds":[116],"estimate":[118],"frame-to-frame":[119],"deformation":[120,151,161,176,251],"fields":[121],"using":[122],"Unsigned":[123],"Distance":[124],"Field":[125],"(UDF)":[126],"registration":[127],"As-Rigid-As-Possible":[129],"(ARAP)":[130],"regularization.":[131],"These":[132],"are":[133,164],"used":[134],"segment":[136],"the":[137,211],"into":[139,168],"motion-coherent":[140],"Groups":[141],"of":[142],"Pictures":[143],"(GoPs).":[144],"Each":[145],"GoP":[146],"undergoes":[147],"alternating":[148],"fusion":[149],"propagation":[152],"yield":[154],"consistent":[156],"local":[157],"dense":[160],"field.":[162,177],"GoPs":[163],"then":[165],"hierarchically":[166],"merged":[167],"global":[170],"scene":[171,235],"model":[172,188],"unified":[175],"A":[178],"spatio-temporal":[179],"Splatting":[182],"representation":[183],"initialized":[185],"this":[187],"further":[190],"refined":[191],"photometric":[193],"geometric":[195],"losses.":[196],"To":[197],"evaluate":[198],"generalization,":[199],"two-level":[203],"protocol:":[204],"Level":[205,215],"1":[206],"tests":[207,217],"along":[210],"path,":[213],"while":[214],"2":[216],"at":[220],"unseen":[221],"times":[222],"or":[223],"poses.":[224],"also":[226],"release":[227],"dataset":[231],"reconstruction.":[236],"Our":[237],"method":[238],"sets":[239],"state-of-the-art,":[242],"outperforming":[243],"prior":[244],"work":[245],"both":[247],"quality":[249],"accuracy.":[252]},"counts_by_year":[],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-16T00:00:00"}
