{"id":"https://openalex.org/W7166736392","doi":"https://doi.org/10.7148/2026-0762","title":"A novel pipeline for 3d gaussian splatting: bridging path tracing and real-time radiance fields","display_name":"A novel pipeline for 3d gaussian splatting: bridging path tracing and real-time radiance fields","publication_year":2026,"publication_date":"2026-06-23","ids":{"openalex":"https://openalex.org/W7166736392","doi":"https://doi.org/10.7148/2026-0762"},"language":null,"primary_location":{"id":"doi:10.7148/2026-0762","is_oa":false,"landing_page_url":"https://doi.org/10.7148/2026-0762","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ECMS 2026 Proceedings edited by Filippo Sanfilippo, Florenc Demrozi, Fabio Sgarbossa, Mohammad Poursina","raw_type":"proceedings-article"},"type":"conference-paper","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":"https://openalex.org/A5034370489","display_name":"Federico Costantini","orcid":"https://orcid.org/0000-0003-2168-5523"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Federico Costantini","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102891611","display_name":"Marco Domenico Buttiglione","orcid":"https://orcid.org/0009-0000-9202-7486"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marco Domenico Buttiglione","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071788584","display_name":"Pietro Piazzolla","orcid":"https://orcid.org/0000-0003-2288-8410"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pietro Piazzolla","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5078969275","display_name":"Marco Gribaudo","orcid":"https://orcid.org/0000-0002-1415-5287"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marco Gribaudo","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":"762","last_page":"768"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.4876999855041504,"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":0.4876999855041504,"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":0.23330000042915344,"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":0.11159999668598175,"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/point-cloud","display_name":"Point cloud","score":0.7379999756813049},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5536999702453613},{"id":"https://openalex.org/keywords/radiance","display_name":"Radiance","score":0.5189999938011169},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5091999769210815},{"id":"https://openalex.org/keywords/ray-tracing","display_name":"Ray tracing (physics)","score":0.41519999504089355},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.4099000096321106},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.388700008392334},{"id":"https://openalex.org/keywords/tracing","display_name":"Tracing","score":0.36719998717308044},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.35659998655319214}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7379999756813049},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7035999894142151},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5536999702453613},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5336999893188477},{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.5189999938011169},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5091999769210815},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4544000029563904},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43880000710487366},{"id":"https://openalex.org/C121483023","wikidata":"https://www.wikidata.org/wiki/Q7298343","display_name":"Ray tracing (physics)","level":2,"score":0.41519999504089355},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.4099000096321106},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.388700008392334},{"id":"https://openalex.org/C138673069","wikidata":"https://www.wikidata.org/wiki/Q322229","display_name":"Tracing","level":2,"score":0.36719998717308044},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.35659998655319214},{"id":"https://openalex.org/C110541219","wikidata":"https://www.wikidata.org/wiki/Q72948","display_name":"Path tracing","level":3,"score":0.3492000102996826},{"id":"https://openalex.org/C181095308","wikidata":"https://www.wikidata.org/wiki/Q1541599","display_name":"Geometric primitive","level":2,"score":0.34299999475479126},{"id":"https://openalex.org/C205606062","wikidata":"https://www.wikidata.org/wiki/Q5249645","display_name":"Decoupling (probability)","level":2,"score":0.31869998574256897},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.3172999918460846},{"id":"https://openalex.org/C2781395549","wikidata":"https://www.wikidata.org/wiki/Q4680762","display_name":"Adaptive sampling","level":3,"score":0.3156000077724457},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.31349998712539673},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.30640000104904175},{"id":"https://openalex.org/C108598597","wikidata":"https://www.wikidata.org/wiki/Q124255","display_name":"Conic section","level":2,"score":0.30469998717308044},{"id":"https://openalex.org/C20885615","wikidata":"https://www.wikidata.org/wiki/Q825595","display_name":"Surface reconstruction","level":3,"score":0.2854999899864197},{"id":"https://openalex.org/C116108083","wikidata":"https://www.wikidata.org/wiki/Q1940131","display_name":"Ray casting","level":4,"score":0.2824000120162964},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.2800999879837036},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.27810001373291016},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.2775999903678894},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.2768999934196472},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.27239999175071716},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.263700008392334}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.7148/2026-0762","is_oa":false,"landing_page_url":"https://doi.org/10.7148/2026-0762","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ECMS 2026 Proceedings edited by Filippo Sanfilippo, Florenc Demrozi, Fabio Sgarbossa, Mohammad Poursina","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4559517204761505,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Novel":[0],"View":[1],"Synthesis":[2],"techniques":[3],"such":[4],"as":[5,79],"3D":[6],"Gaussian":[7],"Splatting":[8],"(3DGS)":[9],"conventionally":[10],"rely":[11],"on":[12,28,104,137],"Structure-from-Motion":[13],"(SfM)":[14],"to":[15,66,126],"generate":[16],"the":[17,115],"sparse":[18,34],"point":[19,75],"cloud":[20,76],"required":[21],"for":[22,84,117],"initialisation.":[23],"SfM,":[24],"however,":[25],"fails":[26],"systematically":[27],"textureless":[29],"or":[30],"flat":[31],"surfaces,":[32],"producing":[33],"geometry":[35],"and":[36,54,70,92,130],"visible":[37],"artefacts.":[38],"This":[39],"paper":[40],"presents":[41],"a":[42,63,72,138],"synthetic":[43],"data":[44,69],"generation":[45],"pipeline":[46,113],"that":[47,77,94,111],"bypasses":[48],"SfM":[49],"entirely":[50],"by":[51,101],"decoupling":[52],"geometric":[53],"photometric":[55],"acquisition.":[56],"A":[57],"custom":[58],"path":[59],"tracing":[60],"engine":[61],"employs":[62],"toroidal":[64],"sensor":[65],"capture":[67],"omnidirectional":[68],"produces":[71],"dense,":[73],"ground-truth":[74],"serves":[78],"an":[80],"optimal":[81],"initialisation":[82],"state":[83],"3DGS.":[85],"We":[86],"investigate":[87],"several":[88],"surface":[89],"sampling":[90],"strategies":[91],"demonstrate":[93],"Colour-Based":[95],"Importance":[96],"Sampling":[97],"outperforms":[98],"uniform":[99],"methods":[100],"concentrating":[102],"samples":[103],"visually":[105],"informative":[106],"regions.":[107],"Experimental":[108],"results":[109],"show":[110],"our":[112],"eliminates":[114],"need":[116],"Adaptive":[118],"Density":[119],"Control,":[120],"achieves":[121],"superior":[122],"reconstruction":[123],"quality":[124],"compared":[125],"standard":[127],"SfM-based":[128],"initialisations,":[129],"matches":[131],"COLMAP":[132],"training":[133],"times":[134],"despite":[135],"operating":[136],"significantly":[139],"denser":[140],"primitive":[141],"set.":[142]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-07-01T00:00:00"}
