{"id":"https://openalex.org/W7131318351","doi":"https://doi.org/10.1109/vcip67698.2025.11396831","title":"DWTGS: Rethinking Frequency Regularization for Sparse-view 3D Gaussian Splatting","display_name":"DWTGS: Rethinking Frequency Regularization for Sparse-view 3D Gaussian Splatting","publication_year":2025,"publication_date":"2025-12-01","ids":{"openalex":"https://openalex.org/W7131318351","doi":"https://doi.org/10.1109/vcip67698.2025.11396831"},"language":null,"primary_location":{"id":"doi:10.1109/vcip67698.2025.11396831","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip67698.2025.11396831","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Visual Communications and Image Processing (VCIP)","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":"https://openalex.org/A5126641978","display_name":"Hung Nguyen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210140439","display_name":"Digital Video (Italy)","ror":"https://ror.org/04ge7a533","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210140439"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Hung Nguyen","raw_affiliation_strings":["University of California San Diego,Video Processing Lab,Department of Electrical &amp; Computer Engineering"],"affiliations":[{"raw_affiliation_string":"University of California San Diego,Video Processing Lab,Department of Electrical &amp; Computer Engineering","institution_ids":["https://openalex.org/I4210140439"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126734362","display_name":"Runfa Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210140439","display_name":"Digital Video (Italy)","ror":"https://ror.org/04ge7a533","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210140439"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Runfa Li","raw_affiliation_strings":["University of California San Diego,Video Processing Lab,Department of Electrical &amp; Computer Engineering"],"affiliations":[{"raw_affiliation_string":"University of California San Diego,Video Processing Lab,Department of Electrical &amp; Computer Engineering","institution_ids":["https://openalex.org/I4210140439"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126645030","display_name":"An Le","orcid":null},"institutions":[{"id":"https://openalex.org/I4210140439","display_name":"Digital Video (Italy)","ror":"https://ror.org/04ge7a533","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210140439"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"An Le","raw_affiliation_strings":["University of California San Diego,Video Processing Lab,Department of Electrical &amp; Computer Engineering"],"affiliations":[{"raw_affiliation_string":"University of California San Diego,Video Processing Lab,Department of Electrical &amp; Computer Engineering","institution_ids":["https://openalex.org/I4210140439"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5126658793","display_name":"Truong Nguyen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210140439","display_name":"Digital Video (Italy)","ror":"https://ror.org/04ge7a533","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210140439"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Truong Nguyen","raw_affiliation_strings":["University of California San Diego,Video Processing Lab,Department of Electrical &amp; Computer Engineering"],"affiliations":[{"raw_affiliation_string":"University of California San Diego,Video Processing Lab,Department of Electrical &amp; Computer Engineering","institution_ids":["https://openalex.org/I4210140439"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5126641978"],"corresponding_institution_ids":["https://openalex.org/I4210140439"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.75687057,"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":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.19750000536441803,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.19750000536441803,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.10970000177621841,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.09870000183582306,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/regularization","display_name":"Regularization (linguistics)","score":0.7171000242233276},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5777000188827515},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.46149998903274536},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.451200008392334},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.4101000130176544},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4027999937534332},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.2906999886035919}],"concepts":[{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.7171000242233276},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.614300012588501},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6054999828338623},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5777000188827515},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4724000096321106},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.46149998903274536},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.451200008392334},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.4101000130176544},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4027999937534332},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3467999994754791},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.2906999886035919},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.2842999994754791},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.28189998865127563},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.27889999747276306},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.271699994802475},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2678000032901764},{"id":"https://openalex.org/C100921725","wikidata":"https://www.wikidata.org/wiki/Q1650811","display_name":"Spatial frequency","level":2,"score":0.2578999996185303},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2556000053882599}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip67698.2025.11396831","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip67698.2025.11396831","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Visual Communications and Image Processing (VCIP)","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":32,"referenced_works":["https://openalex.org/W2133665775","https://openalex.org/W2962785568","https://openalex.org/W2963073614","https://openalex.org/W2964288609","https://openalex.org/W3109585842","https://openalex.org/W3215769467","https://openalex.org/W4221167590","https://openalex.org/W4385318467","https://openalex.org/W4386065515","https://openalex.org/W4388392666","https://openalex.org/W4393149700","https://openalex.org/W4402716301","https://openalex.org/W4402754045","https://openalex.org/W4402916043","https://openalex.org/W4402916615","https://openalex.org/W4402917212","https://openalex.org/W4402951620","https://openalex.org/W4403842239","https://openalex.org/W4403887646","https://openalex.org/W4403990364","https://openalex.org/W4408355155","https://openalex.org/W4408355590","https://openalex.org/W4409262341","https://openalex.org/W4409368100","https://openalex.org/W4410719310","https://openalex.org/W4413144795","https://openalex.org/W4413145445","https://openalex.org/W4415796308","https://openalex.org/W4415800701","https://openalex.org/W4417053927","https://openalex.org/W4417054275","https://openalex.org/W7131085033"],"related_works":[],"abstract_inverted_index":{"Sparse-view":[0],"3D":[1],"Gaussian":[2],"Splatting":[3],"(3DGS)":[4],"presents":[5],"significant":[6],"challenges":[7],"in":[8,91],"reconstructing":[9],"high-quality":[10],"novel":[11],"views,":[12],"as":[13,105],"it":[14],"often":[15],"overfits":[16],"to":[17],"the":[18,24,74,87],"widely-varying":[19],"high-frequency":[20],"(HF)":[21],"details":[22],"of":[23],"sparse":[25],"training":[26],"views.":[27],"While":[28],"frequency":[29,59],"regularization":[30,60],"can":[31],"be":[32],"a":[33,55,92],"promising":[34],"approach,":[35],"its":[36],"typical":[37],"reliance":[38],"on":[39,86],"Fourier":[40],"transforms":[41],"causes":[42],"difficult":[43],"parameter":[44],"tuning":[45],"and":[46,111],"biases":[47],"towards":[48],"detrimental":[49],"HF":[50,88,113],"learning.":[51],"We":[52],"propose":[53],"DWTGS,":[54],"framework":[56],"that":[57,65,99],"rethinks":[58],"by":[61],"leveraging":[62],"wavelet-space":[63],"losses":[64],"provide":[66],"additional":[67],"spatial":[68],"supervision.":[69],"Specifically,":[70],"we":[71],"supervise":[72],"only":[73],"low-frequency":[75],"(LF)":[76],"LL":[77],"subbands":[78],"at":[79],"multiple":[80],"DWT":[81],"levels,":[82],"while":[83],"enforcing":[84],"sparsity":[85],"HH":[89],"subband":[90],"self-supervised":[93],"manner.":[94],"Experiments":[95],"across":[96],"benchmarks":[97],"show":[98],"DWTGS":[100],"consistently":[101],"outperforms":[102],"Fourier-based":[103],"counterparts,":[104],"this":[106],"LF-centric":[107],"strategy":[108],"improves":[109],"generalization":[110],"reduces":[112],"hallucinations.":[114]},"counts_by_year":[],"updated_date":"2026-02-25T21:11:00.739837","created_date":"2026-02-25T00:00:00"}
