TinySplat: Feedforward Approach for Generating Compact 3D Scene Representation Article Swipe
Zetian Song
,
Jiaye Fu
,
Jiaqi Zhang
,
Xiaohan Lu
,
Chuanmin Jia
,
Siwei Ma
,
Wen Gao
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2506.09479
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2506.09479
The recent development of feedforward 3D Gaussian Splatting (3DGS) presents a new paradigm to reconstruct 3D scenes. Using neural networks trained on large-scale multi-view datasets, it can directly infer 3DGS representations from sparse input views. Although the feedforward approach achieves high reconstruction speed, it still suffers from the substantial storage cost of 3D Gaussians. Existing 3DGS compression methods relying on scene-wise optimization are not applicable due to architectural incompatibilities. To overcome this limitation, we propose TinySplat, a complete feedforward approach for generating compact 3D scene representations. Built upon standard feedforward 3DGS methods, TinySplat integrates a training-free compression framework that systematically eliminates key sources of redundancy. Specifically, we introduce View-Projection Transformation (VPT) to reduce geometric redundancy by projecting geometric parameters into a more compact space. We further present Visibility-Aware Basis Reduction (VABR), which mitigates perceptual redundancy by aligning feature energy along dominant viewing directions via basis transformation. Lastly, spatial redundancy is addressed through an off-the-shelf video codec. Comprehensive experimental results on multiple benchmark datasets demonstrate that TinySplat achieves over 100x compression for 3D Gaussian data generated by feedforward methods. Compared to the state-of-the-art compression approach, we achieve comparable quality with only 6% of the storage size. Meanwhile, our compression framework requires only 25% of the encoding time and 1% of the decoding time.
Related Topics
Concepts
No concepts available.
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2506.09479
- https://arxiv.org/pdf/2506.09479
- OA Status
- green
- OpenAlex ID
- https://openalex.org/W4417261063
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4417261063Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2506.09479Digital Object Identifier
- Title
-
TinySplat: Feedforward Approach for Generating Compact 3D Scene RepresentationWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-06-11Full publication date if available
- Authors
-
Zetian Song, Jiaye Fu, Jiaqi Zhang, Xiaohan Lu, Chuanmin Jia, Siwei Ma, Wen GaoList of authors in order
- Landing page
-
https://arxiv.org/abs/2506.09479Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2506.09479Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2506.09479Direct OA link when available
- Cited by
-
0Total citation count in OpenAlex
Full payload
| id | https://openalex.org/W4417261063 |
|---|---|
| doi | https://doi.org/10.48550/arxiv.2506.09479 |
| ids.doi | https://doi.org/10.48550/arxiv.2506.09479 |
| ids.openalex | https://openalex.org/W4417261063 |
| fwci | |
| type | preprint |
| title | TinySplat: Feedforward Approach for Generating Compact 3D Scene Representation |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| language | en |
| locations[0].id | pmh:oai:arXiv.org:2506.09479 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4306400194 |
| locations[0].source.issn | |
| locations[0].source.type | repository |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | arXiv (Cornell University) |
| locations[0].source.host_organization | https://openalex.org/I205783295 |
| locations[0].source.host_organization_name | Cornell University |
| locations[0].source.host_organization_lineage | https://openalex.org/I205783295 |
| locations[0].license | |
| locations[0].pdf_url | https://arxiv.org/pdf/2506.09479 |
| locations[0].version | submittedVersion |
| locations[0].raw_type | text |
| locations[0].license_id | |
| locations[0].is_accepted | False |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | http://arxiv.org/abs/2506.09479 |
| locations[1].id | doi:10.48550/arxiv.2506.09479 |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S4306400194 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | True |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | arXiv (Cornell University) |
| locations[1].source.host_organization | https://openalex.org/I205783295 |
| locations[1].source.host_organization_name | Cornell University |
| locations[1].source.host_organization_lineage | https://openalex.org/I205783295 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | |
| locations[1].raw_type | article |
| locations[1].license_id | |
| locations[1].is_accepted | False |
| locations[1].is_published | |
| locations[1].raw_source_name | |
| locations[1].landing_page_url | https://doi.org/10.48550/arxiv.2506.09479 |
| indexed_in | arxiv, datacite |
| authorships[0].author.id | https://openalex.org/A5102827286 |
| authorships[0].author.orcid | https://orcid.org/0009-0009-7675-1365 |
| authorships[0].author.display_name | Zetian Song |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Song, Zetian |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5103061829 |
| authorships[1].author.orcid | https://orcid.org/0009-0000-5409-6050 |
| authorships[1].author.display_name | Jiaye Fu |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Fu, Jiaye |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5100349804 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-3714-3414 |
| authorships[2].author.display_name | Jiaqi Zhang |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Zhang, Jiaqi |
| authorships[2].is_corresponding | False |
| authorships[3].author.id | https://openalex.org/A5006772594 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-7163-8955 |
| authorships[3].author.display_name | Xiaohan Lu |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Lu, Xiaohan |
| authorships[3].is_corresponding | False |
| authorships[4].author.id | https://openalex.org/A5040292663 |
| authorships[4].author.orcid | https://orcid.org/0000-0002-7418-6245 |
| authorships[4].author.display_name | Chuanmin Jia |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Jia, Chuanmin |
| authorships[4].is_corresponding | False |
| authorships[5].author.id | https://openalex.org/A5039832462 |
| authorships[5].author.orcid | https://orcid.org/0000-0002-2731-5403 |
| authorships[5].author.display_name | Siwei Ma |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Ma, Siwei |
| authorships[5].is_corresponding | False |
| authorships[6].author.id | https://openalex.org/A5018478553 |
| authorships[6].author.orcid | https://orcid.org/0000-0002-8070-802X |
| authorships[6].author.display_name | Wen Gao |
| authorships[6].author_position | last |
| authorships[6].raw_author_name | Gao, Wen |
| authorships[6].is_corresponding | False |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://arxiv.org/pdf/2506.09479 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | TinySplat: Feedforward Approach for Generating Compact 3D Scene Representation |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-12-12T09:39:43.965618 |
| primary_topic | |
| cited_by_count | 0 |
| locations_count | 2 |
| best_oa_location.id | pmh:oai:arXiv.org:2506.09479 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306400194 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | arXiv (Cornell University) |
| best_oa_location.source.host_organization | https://openalex.org/I205783295 |
| best_oa_location.source.host_organization_name | Cornell University |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I205783295 |
| best_oa_location.license | |
| best_oa_location.pdf_url | https://arxiv.org/pdf/2506.09479 |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | text |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | http://arxiv.org/abs/2506.09479 |
| primary_location.id | pmh:oai:arXiv.org:2506.09479 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4306400194 |
| primary_location.source.issn | |
| primary_location.source.type | repository |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | arXiv (Cornell University) |
| primary_location.source.host_organization | https://openalex.org/I205783295 |
| primary_location.source.host_organization_name | Cornell University |
| primary_location.source.host_organization_lineage | https://openalex.org/I205783295 |
| primary_location.license | |
| primary_location.pdf_url | https://arxiv.org/pdf/2506.09479 |
| primary_location.version | submittedVersion |
| primary_location.raw_type | text |
| primary_location.license_id | |
| primary_location.is_accepted | False |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | http://arxiv.org/abs/2506.09479 |
| publication_date | 2025-06-11 |
| publication_year | 2025 |
| referenced_works_count | 0 |
| abstract_inverted_index.a | 10, 76, 94, 120 |
| abstract_inverted_index.1% | 207 |
| abstract_inverted_index.3D | 5, 15, 52, 83, 171 |
| abstract_inverted_index.6% | 190 |
| abstract_inverted_index.To | 69 |
| abstract_inverted_index.We | 124 |
| abstract_inverted_index.an | 152 |
| abstract_inverted_index.by | 115, 135, 175 |
| abstract_inverted_index.is | 149 |
| abstract_inverted_index.it | 25, 43 |
| abstract_inverted_index.of | 3, 51, 103, 191, 202, 208 |
| abstract_inverted_index.on | 21, 59, 159 |
| abstract_inverted_index.to | 13, 66, 111, 179 |
| abstract_inverted_index.we | 73, 106, 184 |
| abstract_inverted_index.25% | 201 |
| abstract_inverted_index.The | 0 |
| abstract_inverted_index.and | 206 |
| abstract_inverted_index.are | 62 |
| abstract_inverted_index.can | 26 |
| abstract_inverted_index.due | 65 |
| abstract_inverted_index.for | 80, 170 |
| abstract_inverted_index.key | 101 |
| abstract_inverted_index.new | 11 |
| abstract_inverted_index.not | 63 |
| abstract_inverted_index.our | 196 |
| abstract_inverted_index.the | 36, 47, 180, 192, 203, 209 |
| abstract_inverted_index.via | 143 |
| abstract_inverted_index.100x | 168 |
| abstract_inverted_index.3DGS | 29, 55, 90 |
| abstract_inverted_index.cost | 50 |
| abstract_inverted_index.data | 173 |
| abstract_inverted_index.from | 31, 46 |
| abstract_inverted_index.high | 40 |
| abstract_inverted_index.into | 119 |
| abstract_inverted_index.more | 121 |
| abstract_inverted_index.only | 189, 200 |
| abstract_inverted_index.over | 167 |
| abstract_inverted_index.that | 98, 164 |
| abstract_inverted_index.this | 71 |
| abstract_inverted_index.time | 205 |
| abstract_inverted_index.upon | 87 |
| abstract_inverted_index.with | 188 |
| abstract_inverted_index.(VPT) | 110 |
| abstract_inverted_index.Basis | 128 |
| abstract_inverted_index.Built | 86 |
| abstract_inverted_index.Using | 17 |
| abstract_inverted_index.along | 139 |
| abstract_inverted_index.basis | 144 |
| abstract_inverted_index.infer | 28 |
| abstract_inverted_index.input | 33 |
| abstract_inverted_index.scene | 84 |
| abstract_inverted_index.size. | 194 |
| abstract_inverted_index.still | 44 |
| abstract_inverted_index.time. | 211 |
| abstract_inverted_index.video | 154 |
| abstract_inverted_index.which | 131 |
| abstract_inverted_index.(3DGS) | 8 |
| abstract_inverted_index.codec. | 155 |
| abstract_inverted_index.energy | 138 |
| abstract_inverted_index.neural | 18 |
| abstract_inverted_index.recent | 1 |
| abstract_inverted_index.reduce | 112 |
| abstract_inverted_index.space. | 123 |
| abstract_inverted_index.sparse | 32 |
| abstract_inverted_index.speed, | 42 |
| abstract_inverted_index.views. | 34 |
| abstract_inverted_index.(VABR), | 130 |
| abstract_inverted_index.Lastly, | 146 |
| abstract_inverted_index.achieve | 185 |
| abstract_inverted_index.compact | 82, 122 |
| abstract_inverted_index.feature | 137 |
| abstract_inverted_index.further | 125 |
| abstract_inverted_index.methods | 57 |
| abstract_inverted_index.present | 126 |
| abstract_inverted_index.propose | 74 |
| abstract_inverted_index.quality | 187 |
| abstract_inverted_index.relying | 58 |
| abstract_inverted_index.results | 158 |
| abstract_inverted_index.scenes. | 16 |
| abstract_inverted_index.sources | 102 |
| abstract_inverted_index.spatial | 147 |
| abstract_inverted_index.storage | 49, 193 |
| abstract_inverted_index.suffers | 45 |
| abstract_inverted_index.through | 151 |
| abstract_inverted_index.trained | 20 |
| abstract_inverted_index.viewing | 141 |
| abstract_inverted_index.Although | 35 |
| abstract_inverted_index.Compared | 178 |
| abstract_inverted_index.Existing | 54 |
| abstract_inverted_index.Gaussian | 6, 172 |
| abstract_inverted_index.achieves | 39, 166 |
| abstract_inverted_index.aligning | 136 |
| abstract_inverted_index.approach | 38, 79 |
| abstract_inverted_index.complete | 77 |
| abstract_inverted_index.datasets | 162 |
| abstract_inverted_index.decoding | 210 |
| abstract_inverted_index.directly | 27 |
| abstract_inverted_index.dominant | 140 |
| abstract_inverted_index.encoding | 204 |
| abstract_inverted_index.methods, | 91 |
| abstract_inverted_index.methods. | 177 |
| abstract_inverted_index.multiple | 160 |
| abstract_inverted_index.networks | 19 |
| abstract_inverted_index.overcome | 70 |
| abstract_inverted_index.paradigm | 12 |
| abstract_inverted_index.presents | 9 |
| abstract_inverted_index.requires | 199 |
| abstract_inverted_index.standard | 88 |
| abstract_inverted_index.Reduction | 129 |
| abstract_inverted_index.Splatting | 7 |
| abstract_inverted_index.TinySplat | 92, 165 |
| abstract_inverted_index.addressed | 150 |
| abstract_inverted_index.approach, | 183 |
| abstract_inverted_index.benchmark | 161 |
| abstract_inverted_index.datasets, | 24 |
| abstract_inverted_index.framework | 97, 198 |
| abstract_inverted_index.generated | 174 |
| abstract_inverted_index.geometric | 113, 117 |
| abstract_inverted_index.introduce | 107 |
| abstract_inverted_index.mitigates | 132 |
| abstract_inverted_index.Gaussians. | 53 |
| abstract_inverted_index.Meanwhile, | 195 |
| abstract_inverted_index.TinySplat, | 75 |
| abstract_inverted_index.applicable | 64 |
| abstract_inverted_index.comparable | 186 |
| abstract_inverted_index.directions | 142 |
| abstract_inverted_index.eliminates | 100 |
| abstract_inverted_index.generating | 81 |
| abstract_inverted_index.integrates | 93 |
| abstract_inverted_index.multi-view | 23 |
| abstract_inverted_index.parameters | 118 |
| abstract_inverted_index.perceptual | 133 |
| abstract_inverted_index.projecting | 116 |
| abstract_inverted_index.redundancy | 114, 134, 148 |
| abstract_inverted_index.scene-wise | 60 |
| abstract_inverted_index.compression | 56, 96, 169, 182, 197 |
| abstract_inverted_index.demonstrate | 163 |
| abstract_inverted_index.development | 2 |
| abstract_inverted_index.feedforward | 4, 37, 78, 89, 176 |
| abstract_inverted_index.large-scale | 22 |
| abstract_inverted_index.limitation, | 72 |
| abstract_inverted_index.reconstruct | 14 |
| abstract_inverted_index.redundancy. | 104 |
| abstract_inverted_index.substantial | 48 |
| abstract_inverted_index.experimental | 157 |
| abstract_inverted_index.optimization | 61 |
| abstract_inverted_index.Comprehensive | 156 |
| abstract_inverted_index.Specifically, | 105 |
| abstract_inverted_index.architectural | 67 |
| abstract_inverted_index.off-the-shelf | 153 |
| abstract_inverted_index.training-free | 95 |
| abstract_inverted_index.Transformation | 109 |
| abstract_inverted_index.reconstruction | 41 |
| abstract_inverted_index.systematically | 99 |
| abstract_inverted_index.View-Projection | 108 |
| abstract_inverted_index.representations | 30 |
| abstract_inverted_index.transformation. | 145 |
| abstract_inverted_index.Visibility-Aware | 127 |
| abstract_inverted_index.representations. | 85 |
| abstract_inverted_index.state-of-the-art | 181 |
| abstract_inverted_index.incompatibilities. | 68 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 7 |
| citation_normalized_percentile |