{"id":"https://openalex.org/W4390305592","doi":"https://doi.org/10.48550/arxiv.2312.14937","title":"SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenes","display_name":"SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenes","publication_year":2023,"publication_date":"2023-12-04","ids":{"openalex":"https://openalex.org/W4390305592","doi":"https://doi.org/10.48550/arxiv.2312.14937"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2312.14937","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2312.14937","pdf_url":"https://arxiv.org/pdf/2312.14937","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2312.14937","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046290441","display_name":"Yihua Huang","orcid":"https://orcid.org/0000-0001-5910-5972"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Yi-Hua","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066898339","display_name":"Yang-Tian Sun","orcid":"https://orcid.org/0000-0001-6370-1603"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Yang-Tian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085127108","display_name":"Ziyi Yang","orcid":"https://orcid.org/0000-0002-3550-9283"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Ziyi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091549331","display_name":"Xiaoyang Lyu","orcid":"https://orcid.org/0009-0007-5335-6691"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lyu, Xiaoyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091525681","display_name":"Yan\u2010Pei Cao","orcid":"https://orcid.org/0000-0002-0416-4374"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cao, Yan-Pei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5102498323","display_name":"Xiaojuan Qi","orcid":"https://orcid.org/0000-0002-4285-1626"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qi, Xiaojuan","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":4,"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":0.9980000257492065,"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":0.9980000257492065,"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":0.9950000047683716,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.993399977684021,"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/computer-science","display_name":"Computer science","score":0.7996506690979004},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.6708129644393921},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6595548391342163},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6146485805511475},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.4969537556171417},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.46166306734085083},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4614514112472534},{"id":"https://openalex.org/keywords/view-synthesis","display_name":"View synthesis","score":0.42647507786750793},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.4113653302192688},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.39010071754455566}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7996506690979004},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6708129644393921},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6595548391342163},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6146485805511475},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.4969537556171417},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.46166306734085083},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4614514112472534},{"id":"https://openalex.org/C2776449333","wikidata":"https://www.wikidata.org/wiki/Q7928781","display_name":"View synthesis","level":3,"score":0.42647507786750793},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.4113653302192688},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.39010071754455566},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2312.14937","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2312.14937","pdf_url":"https://arxiv.org/pdf/2312.14937","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2312.14937","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2312.14937","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2312.14937","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2312.14937","pdf_url":"https://arxiv.org/pdf/2312.14937","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4390305592.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2611780867","https://openalex.org/W2731344982","https://openalex.org/W1491099440","https://openalex.org/W2073038808","https://openalex.org/W3104631102","https://openalex.org/W1983958657","https://openalex.org/W3206964005","https://openalex.org/W4226100462","https://openalex.org/W3035116386","https://openalex.org/W2094668553"],"abstract_inverted_index":{"Novel":[0],"view":[1,35,242],"synthesis":[2,243],"for":[3,115],"dynamic":[4,54],"scenes":[5,28,55],"is":[6,67,195],"still":[7],"a":[8,22,43,106,245],"challenging":[9],"problem":[10],"in":[11,75,180],"computer":[12],"vision":[13],"and":[14,29,32,51,60,126,130,149,158,167,183,201,215,249],"graphics.":[15],"Recently,":[16],"Gaussian":[17],"splatting":[18],"has":[19],"emerged":[20],"as":[21,191,193],"robust":[23],"technique":[24],"to":[25,68,80,96,109,153,175,197,209],"represent":[26],"static":[27],"enable":[30,223],"high-quality":[31],"real-time":[33],"novel":[34,241,251],"synthesis.":[36],"Building":[37],"upon":[38],"this":[39],"technique,":[40],"we":[41,136],"propose":[42],"new":[44],"representation":[45,214],"that":[46,234],"explicitly":[47],"decomposes":[48],"the":[49,78,98,139,142,150,155,165,188,210],"motion":[50,99,133,178,213,225,253],"appearance":[52],"of":[53,101,146,160,169,190,204],"into":[56],"sparse":[57,70,212],"control":[58,71,117,147,170],"points":[59,171],"dense":[61],"Gaussians,":[62,79,141],"respectively.":[63],"Our":[64],"key":[65],"idea":[66],"use":[69],"points,":[72,148],"significantly":[73],"fewer":[74],"number":[76,168],"than":[77],"learn":[81,138],"compact":[82],"6":[83,112],"DoF":[84,113],"transformation":[85],"bases,":[86],"which":[87,119],"can":[88,222],"be":[89],"locally":[90],"interpolated":[91],"through":[92],"learned":[93,205],"interpolation":[94],"weights":[95],"yield":[97],"field":[100],"3D":[102,140,161],"Gaussians.":[103],"We":[104],"employ":[105],"deformation":[107,151],"MLP":[108,152],"predict":[110],"time-varying":[111],"transformations":[114],"each":[116],"point,":[118],"reduces":[120],"learning":[121,124],"complexities,":[122],"enhances":[123],"abilities,":[125],"facilitates":[127],"obtaining":[128],"temporal":[129],"spatial":[131,199],"coherent":[132],"patterns.":[134],"Then,":[135],"jointly":[137],"canonical":[143],"space":[144],"locations":[145],"reconstruct":[154],"appearance,":[156,219],"geometry,":[157],"dynamics":[159],"scenes.":[162],"During":[163],"learning,":[164],"location":[166],"are":[172],"adaptively":[173],"adjusted":[174],"accommodate":[176],"varying":[177],"complexities":[179],"different":[181],"regions,":[182],"an":[184],"ARAP":[185],"loss":[186],"following":[187],"principle":[189],"rigid":[192],"possible":[194],"developed":[196],"enforce":[198],"continuity":[200],"local":[202],"rigidity":[203],"motions.":[206],"Finally,":[207],"thanks":[208],"explicit":[211],"its":[216],"decomposition":[217],"from":[218],"our":[220,235],"method":[221],"user-controlled":[224],"editing":[226,254],"while":[227],"retaining":[228],"high-fidelity":[229],"appearances.":[230],"Extensive":[231],"experiments":[232],"demonstrate":[233],"approach":[236],"outperforms":[237],"existing":[238],"approaches":[239],"on":[240],"with":[244],"high":[246],"rendering":[247],"speed":[248],"enables":[250],"appearance-preserved":[252],"applications.":[255],"Project":[256],"page:":[257],"https://yihua7.github.io/SC-GS-web/":[258]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}