{"id":"https://openalex.org/W7141231348","doi":"https://doi.org/10.48550/arxiv.2603.25745","title":"Less Gaussians, Texture More: 4K Feed-Forward Textured Splatting","display_name":"Less Gaussians, Texture More: 4K Feed-Forward Textured Splatting","publication_year":2026,"publication_date":"2026-03-26","ids":{"openalex":"https://openalex.org/W7141231348","doi":"https://doi.org/10.48550/arxiv.2603.25745"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.25745","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.25745","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.25745","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005159503","display_name":"Yixing Lao","orcid":"https://orcid.org/0000-0001-8338-3577"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Lao, Yixing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030202739","display_name":"Xuyang Bai","orcid":"https://orcid.org/0000-0002-7414-0319"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bai, Xuyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130721705","display_name":"Xiaoyang Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Xiaoyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073654539","display_name":"Nuoyuan Yan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yan, Nuoyuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130795302","display_name":"Zixin Luo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luo, Zixin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130809498","display_name":"Tian Fang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fang, Tian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056922776","display_name":"Jean-Daniel Nahmias","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nahmias, Jean-Daniel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018331726","display_name":"Yanghai Tsin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tsin, Yanghai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130815969","display_name":"Shiwei Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Shiwei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5130792653","display_name":"Hengshuang Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Hengshuang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5005159503"],"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":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":0.18410000205039978,"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":0.18410000205039978,"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.17249999940395355,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.1128000020980835,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/texture-synthesis","display_name":"Texture synthesis","score":0.5942999720573425},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5774999856948853},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5636000037193298},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.4350000023841858},{"id":"https://openalex.org/keywords/texture-mapping","display_name":"Texture mapping","score":0.42559999227523804},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.40700000524520874},{"id":"https://openalex.org/keywords/displacement-mapping","display_name":"Displacement mapping","score":0.382099986076355}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7091000080108643},{"id":"https://openalex.org/C50494287","wikidata":"https://www.wikidata.org/wiki/Q658467","display_name":"Texture synthesis","level":5,"score":0.5942999720573425},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5907999873161316},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5774999856948853},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.570900022983551},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5636000037193298},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.4350000023841858},{"id":"https://openalex.org/C200585589","wikidata":"https://www.wikidata.org/wiki/Q752176","display_name":"Texture mapping","level":2,"score":0.42559999227523804},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.42410001158714294},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.40700000524520874},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3887999951839447},{"id":"https://openalex.org/C123149101","wikidata":"https://www.wikidata.org/wiki/Q1229184","display_name":"Displacement mapping","level":3,"score":0.382099986076355},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.3646000027656555},{"id":"https://openalex.org/C2776449333","wikidata":"https://www.wikidata.org/wiki/Q7928781","display_name":"View synthesis","level":3,"score":0.3571999967098236},{"id":"https://openalex.org/C181095308","wikidata":"https://www.wikidata.org/wiki/Q1541599","display_name":"Geometric primitive","level":2,"score":0.3571000099182129},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.33820000290870667},{"id":"https://openalex.org/C144743038","wikidata":"https://www.wikidata.org/wiki/Q3267765","display_name":"Texture filtering","level":5,"score":0.335099995136261},{"id":"https://openalex.org/C54243161","wikidata":"https://www.wikidata.org/wiki/Q39333","display_name":"Texture compression","level":5,"score":0.3228999972343445},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.30059999227523804},{"id":"https://openalex.org/C65892221","wikidata":"https://www.wikidata.org/wiki/Q1113935","display_name":"Gaussian filter","level":3,"score":0.259799987077713},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2540999948978424}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.25745","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.25745","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.25745","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.25745","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Existing":[0],"feed-forward":[1,40,82],"3D":[2],"Gaussian":[3,51,89],"Splatting":[4],"methods":[5],"predict":[6],"pixel-aligned":[7],"primitives,":[8],"leading":[9],"to":[10],"a":[11,39,75],"quadratic":[12],"growth":[13],"in":[14],"primitive":[15],"count":[16],"as":[17,29],"resolution":[18,45],"increases.":[19],"This":[20,64],"fundamentally":[21],"limits":[22],"their":[23],"scalability,":[24],"making":[25],"high-resolution":[26],"synthesis":[27,71],"such":[28],"4K":[30,68],"intractable.":[31],"We":[32],"introduce":[33],"LGTM":[34,57],"(Less":[35],"Gaussians,":[36],"Texture":[37],"More),":[38],"framework":[41],"that":[42],"overcomes":[43],"this":[44],"scaling":[46],"barrier.":[47],"By":[48],"predicting":[49],"compact":[50],"primitives":[52],"coupled":[53],"with":[54],"per-primitive":[55],"textures,":[56],"decouples":[58],"geometric":[59],"complexity":[60],"from":[61],"rendering":[62],"resolution.":[63],"approach":[65],"enables":[66],"high-fidelity":[67],"novel":[69],"view":[70],"without":[72],"per-scene":[73],"optimization,":[74],"capability":[76],"previously":[77],"out":[78],"of":[79],"reach":[80],"for":[81],"methods,":[83],"all":[84],"while":[85],"using":[86],"significantly":[87],"fewer":[88],"primitives.":[90],"Project":[91],"page:":[92],"https://yxlao.github.io/lgtm/":[93]},"counts_by_year":[],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2026-03-28T00:00:00"}
