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Data · dataset · 2024

SpotLessSplats: Ignoring Distractors in 3D Gaussian Splatting

Listed in Borealis

3D Gaussian Splatting (3DGS) is a promising technique for 3D reconstruction, offering efficient training and rendering speeds, making it suitable for realtime applications.

Description

However, current methods require highly controlled environments—no moving people or wind-blown elements, and consistent lighting—to meet the inter-view consistency assumption of 3DGS. This makes reconstruction of real-world captures problematic.

We present SpotLessSplats, an approach that leverages pre-trained and general-purpose features coupled with robust optimization to effectively ignore transient distractors. Our method achieves state-of-the-art reconstruction quality both visually and quantitatively, on casual captures

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Catalogue records · 1

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Provenance · 1 source records, 7 field assertions
SourceKeyLast seenRaw
Borealisdoi:10.5683/SP3/WOFXFT9 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].dataverse_subject:computer-and-information-sciencesource · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
created_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
descriptionsource · borealisdata caconnector:borealisdata_ca@1.0.0/description
publication_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
titlesource · borealisdata caconnector:borealisdata_ca@1.0.0/name
updated_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
version_labelsource · borealisdata caconnector:borealisdata_ca@1.0.0