{"id":"https://openalex.org/W7127916893","doi":"https://doi.org/10.1145/3779232.3779453","title":"SCGC: Sparse Control-Guided Gaussian Splatting with Contrastive Learning","display_name":"SCGC: Sparse Control-Guided Gaussian Splatting with Contrastive Learning","publication_year":2025,"publication_date":"2025-12-13","ids":{"openalex":"https://openalex.org/W7127916893","doi":"https://doi.org/10.1145/3779232.3779453"},"language":null,"primary_location":{"id":"doi:10.1145/3779232.3779453","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3779232.3779453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 20th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Hongtao Xie","orcid":"https://orcid.org/0009-0004-3703-3372"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Hongtao Xie","raw_affiliation_strings":["Beijing Normal-Hong Kong Baptist University, Zhuhai, China"],"affiliations":[{"raw_affiliation_string":"Beijing Normal-Hong Kong Baptist University, Zhuhai, China","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5125201313","display_name":"Hui Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hui Zhang","raw_affiliation_strings":["Beijing Normal-Hong Kong Baptist University, Zhuhai, China"],"affiliations":[{"raw_affiliation_string":"Beijing Normal-Hong Kong Baptist University, Zhuhai, China","institution_ids":["https://openalex.org/I141568987"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I141568987"],"apc_list":null,"apc_paid":null,"fwci":1.3656,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.85060472,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.7833999991416931,"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":0.7833999991416931,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.0714000016450882,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.052799999713897705,"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/consistency","display_name":"Consistency (knowledge bases)","score":0.5595999956130981},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4975999891757965},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.47279998660087585},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43380001187324524},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.43140000104904175},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3840000033378601},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.36570000648498535},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.32749998569488525},{"id":"https://openalex.org/keywords/control-point","display_name":"Control point","score":0.3240000009536743}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6852999925613403},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6152999997138977},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5595999956130981},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4975999891757965},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.47279998660087585},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43380001187324524},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.43140000104904175},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4293999969959259},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3840000033378601},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.36570000648498535},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.32749998569488525},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32580000162124634},{"id":"https://openalex.org/C2777774050","wikidata":"https://www.wikidata.org/wiki/Q16945110","display_name":"Control point","level":2,"score":0.3240000009536743},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3237999975681305},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.3167000114917755},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.30250000953674316},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.2985999882221222},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.2847000062465668},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.2816999852657318},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.274399995803833},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.27320000529289246},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.2671999931335449},{"id":"https://openalex.org/C50494287","wikidata":"https://www.wikidata.org/wiki/Q658467","display_name":"Texture synthesis","level":5,"score":0.2635999917984009},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.26339998841285706},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.2583000063896179},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.25540000200271606},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2549000084400177}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3779232.3779453","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3779232.3779453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 20th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6402137279510498,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2133665775","https://openalex.org/W2471962767","https://openalex.org/W2949825757","https://openalex.org/W2962785568","https://openalex.org/W3111535274","https://openalex.org/W3177963522","https://openalex.org/W3203570626","https://openalex.org/W3203806429","https://openalex.org/W3214712237","https://openalex.org/W3215589927","https://openalex.org/W3215769467","https://openalex.org/W4200150166","https://openalex.org/W4214661523","https://openalex.org/W4221151978","https://openalex.org/W4286615883","https://openalex.org/W4312234520","https://openalex.org/W4312325284","https://openalex.org/W4312706422","https://openalex.org/W4385318467","https://openalex.org/W4386071610","https://openalex.org/W4393248012","https://openalex.org/W4400403028","https://openalex.org/W4400820783","https://openalex.org/W4402715988","https://openalex.org/W4402715996","https://openalex.org/W4402716405","https://openalex.org/W4402726969","https://openalex.org/W4402727865","https://openalex.org/W4402753521","https://openalex.org/W4402753826","https://openalex.org/W4404524486","https://openalex.org/W4415800390"],"related_works":[],"abstract_inverted_index":{"We":[0,127],"present":[1],"SCGC,":[2],"an":[3],"approach":[4,153],"that":[5,62,83,113],"extends":[6],"Scaffold-GS":[7,23,181],"through":[8,99,122],"additional":[9,129,164],"sparse":[10],"control":[11,58,87,130,146],"points":[12,88,131,147],"and":[13,38,70,89,96,103,107,136,148],"contrastive":[14,80],"learning":[15,81],"mechanisms":[16],"for":[17],"improved":[18],"3D":[19,26],"scene":[20,75,174],"reconstruction.":[21],"While":[22],"provides":[24],"structured":[25,160],"Gaussians":[27],"with":[28,117,187],"anchor-based":[29],"organization,":[30],"challenges":[31],"remain":[32],"in":[33,173,184],"optimizing":[34],"anchor":[35,67,120,150],"point":[36,59,68],"distributions":[37],"maintaining":[39],"geometric":[40,97,165],"consistency":[41,98],"across":[42],"different":[43],"viewpoints.":[44],"Building":[45],"upon":[46],"Scaffold-GS\u2019s":[47,118,149,159],"hierarchical":[48],"framework,":[49],"our":[50,145],"method":[51],"introduces":[52],"several":[53],"enhancements:":[54],"(1)":[55],"a":[56,78,109],"transformer-based":[57],"optimization":[60,111],"mechanism":[61,121],"applies":[63],"self-attention":[64],"to":[65,92,141,168,178],"improve":[66],"placement":[69],"adaptation":[71],"based":[72],"on":[73,85],"local":[74],"geometry,":[76],"(2)":[77],"dual-level":[79],"scheme":[82],"operates":[84],"both":[86],"Gaussian":[90],"primitives":[91],"enhance":[93],"feature":[94],"discrimination":[95],"carefully":[100,123],"constructed":[101],"positive":[102],"negative":[104],"sample":[105],"pairs,":[106],"(3)":[108],"joint":[110],"strategy":[112],"integrates":[114],"these":[115],"components":[116],"existing":[119],"designed":[124],"loss":[125],"functions.":[126],"initialize":[128],"using":[132],"Farthest":[133],"Point":[134],"Sampling":[135],"employ":[137],"k-nearest":[138],"neighbor":[139],"assignment":[140],"establish":[142],"relationships":[143],"between":[144],"system.":[151],"Our":[152],"maintains":[154],"the":[155,179],"efficiency":[156],"advantages":[157],"of":[158],"representation":[161],"while":[162],"providing":[163],"guidance,":[166],"leading":[167],"moderate":[169],"but":[170],"consistent":[171],"improvements":[172],"reconstruction":[175],"quality":[176],"compared":[177],"baseline":[180],"method,":[182],"particularly":[183],"challenging":[185],"regions":[186],"complex":[188],"geometry":[189],"or":[190],"limited":[191],"texture":[192],"information.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-25T23:56:10.502304","created_date":"2026-02-07T00:00:00"}
