Lune

CVPR2025Top-tier venue

DeSplat: Decomposed Gaussian Splatting for Distractor-Free Rendering

Yihao Wang, Marcus Klasson, Matias Turkulainen, Shuzhe Wang, Juho Kannala, Arno Solin

2025Year
2Top-tier citations

Abstract

Moving objects in the views easily break multi-view consistency Distractor Gaussians Figure 1. DeSplat: Gaussian Splatting struggles with floaters and artifacts when image sequences violate photometric consistency assumptions. Unlike existing distractor-free methods which rely on external semantic features, we propose a fully splatting-based solution grounded in photometric consistency that decomposes 3DGS scenes into static components and per-view distractors.

Ask about this paper

Your agent reads all of it.

Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.

Questions to start from

Your agent calls

Luneget_paper_fulltext

Ask in Lune

Free to start. No credit card required.

lune papers fulltext 59593bcd-94e9-4351-b404-88d34856365d

Cited by top-tier papers2

Ask how each one uses it

Builds on27

Related papers

Dusk over the sea between two cliffs drawn in fine vertical lines