{"id":"https://openalex.org/W4417073307","doi":"https://doi.org/10.1145/3743093.3771077","title":"Diffusion-Driven 3D Gaussian Splatting for Occlusion-Free Egocentric Scene Reconstruction","display_name":"Diffusion-Driven 3D Gaussian Splatting for Occlusion-Free Egocentric Scene Reconstruction","publication_year":2025,"publication_date":"2025-12-06","ids":{"openalex":"https://openalex.org/W4417073307","doi":"https://doi.org/10.1145/3743093.3771077"},"language":null,"primary_location":{"id":"doi:10.1145/3743093.3771077","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3743093.3771077","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th ACM International Conference on Multimedia in Asia","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":"Roucheng Lai","orcid":"https://orcid.org/0009-0002-9101-6675"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Roucheng Lai","raw_affiliation_strings":["Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0002-9101-6675","affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004929949","display_name":"Haijing Liu","orcid":"https://orcid.org/0009-0000-4772-9569"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haijing Liu","raw_affiliation_strings":["Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0000-4772-9569","affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061828638","display_name":"Hefeng Wu","orcid":"https://orcid.org/0000-0002-2132-6515"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hefeng Wu","raw_affiliation_strings":["Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2132-6515","affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.37644562,"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":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.24009999632835388,"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":0.24009999632835388,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.13410000503063202,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.10639999806880951,"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/initialization","display_name":"Initialization","score":0.6287000179290771},{"id":"https://openalex.org/keywords/inpainting","display_name":"Inpainting","score":0.5996000170707703},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5619999766349792},{"id":"https://openalex.org/keywords/augmented-reality","display_name":"Augmented reality","score":0.5058000087738037},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.44429999589920044},{"id":"https://openalex.org/keywords/3d-reconstruction","display_name":"3D reconstruction","score":0.4300000071525574},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.36899998784065247},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.3598000109195709}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7835000157356262},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7777000069618225},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7706000208854675},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.6287000179290771},{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.5996000170707703},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5619999766349792},{"id":"https://openalex.org/C153715457","wikidata":"https://www.wikidata.org/wiki/Q254183","display_name":"Augmented reality","level":2,"score":0.5058000087738037},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.44429999589920044},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.4300000071525574},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.36899998784065247},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.3598000109195709},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.35420000553131104},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.34450000524520874},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.3118000030517578},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.2985999882221222},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.2892000079154968},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.2842999994754791},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.259799987077713},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.2515999972820282},{"id":"https://openalex.org/C195958017","wikidata":"https://www.wikidata.org/wiki/Q1675268","display_name":"Iterative closest point","level":3,"score":0.2513999938964844},{"id":"https://openalex.org/C206776904","wikidata":"https://www.wikidata.org/wiki/Q1758389","display_name":"Mixed reality","level":3,"score":0.25029999017715454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3743093.3771077","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3743093.3771077","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th ACM International Conference on Multimedia in Asia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2122122381","https://openalex.org/W2133665775","https://openalex.org/W2461937780","https://openalex.org/W2962785568","https://openalex.org/W2968722025","https://openalex.org/W3081268564","https://openalex.org/W3109585842","https://openalex.org/W3153220274","https://openalex.org/W3177583232","https://openalex.org/W4214731463","https://openalex.org/W4312497550","https://openalex.org/W4312933868","https://openalex.org/W4313031313","https://openalex.org/W4385318467","https://openalex.org/W4388145549","https://openalex.org/W4390874575","https://openalex.org/W4402713101","https://openalex.org/W4402727915","https://openalex.org/W4402753888"],"related_works":[],"abstract_inverted_index":{"Augmented":[0],"reality":[1,130],"and":[2,8,93,103,131],"robotic":[3,132],"navigation":[4],"increasingly":[5],"demand":[6],"accurate":[7],"complete":[9],"3D":[10,45],"scene":[11,55,70,101],"reconstruction":[12,41],"from":[13],"egocentric":[14],"viewpoints.":[15],"However,":[16],"dynamic":[17],"occlusions\u2014such":[18],"as":[19],"those":[20],"caused":[21],"by":[22,72],"hand\u2013object":[23],"interactions\u2014and":[24],"frequent":[25],"viewpoint":[26],"changes":[27],"often":[28],"lead":[29],"to":[30,52],"persistent":[31],"geometric":[32],"incompleteness,":[33],"hindering":[34],"practical":[35,125],"deployment.":[36],"We":[37],"present":[38],"a":[39,60,124],"diffusion-guided":[40],"framework":[42],"that":[43],"integrates":[44],"Gaussian":[46,65],"Splatting":[47],"(3DGS)":[48],"with":[49],"generative":[50],"inpainting":[51],"achieve":[53],"occlusion-free":[54],"modeling.":[56],"The":[57],"method":[58],"follows":[59],"two-stage":[61],"pipeline:":[62],"(1)":[63],"Mask-guided":[64],"initialization":[66],"constructs":[67],"an":[68],"occlusion-aware":[69],"representation":[71],"explicitly":[73],"excluding":[74],"segmented":[75],"occlusion":[76],"regions;":[77],"(2)":[78],"Depth-aware":[79],"diffusion":[80],"refinement":[81],"recovers":[82],"missing":[83],"structures":[84],"through":[85],"iterative":[86],"cross-modal":[87],"fusion":[88],"of":[89],"multi-view":[90],"depth":[91],"cues":[92],"pretrained":[94],"semantic":[95],"priors.":[96],"This":[97],"approach":[98],"significantly":[99],"improves":[100],"completeness":[102],"visual":[104],"fidelity":[105],"over":[106],"state-of-the-art":[107],"methods.":[108],"Extensive":[109],"experiments":[110],"demonstrate":[111],"its":[112],"robustness":[113],"in":[114,118],"occlusion-dense":[115],"scenarios,":[116],"especially":[117],"handling":[119],"complex":[120],"hand-induced":[121],"occlusions,":[122],"offering":[123],"solution":[126],"for":[127],"immersive":[128],"augmented":[129],"perception.":[133]},"counts_by_year":[],"updated_date":"2025-12-06T23:14:57.273132","created_date":"2025-12-06T00:00:00"}
