Results 11 to 20 of about 897,519 (241)

Mip-Splatting: Alias-Free 3D Gaussian Splatting [PDF]

open access: yesComputer Vision and Pattern Recognition, 2023
Recently, 3D Gaussian Splatting has demonstrated impressive novel view synthesis results, reaching high fidelity and efficiency. However, strong artifacts can be observed when changing the sampling rate, e.g., by changing focal length or camera distance.
Zehao Yu   +4 more
semanticscholar   +3 more sources

DiGS: Depth-Initialized Gaussian Splatting for Single-Object Reconstruction [PDF]

open access: yesJournal of Imaging
Gaussian Splatting is a state-of-the-art technique for 3D reconstruction. In this paper, we investigate how different initialization strategies influence the optimization process within the Gaussian Splatting framework, showing that more accurate initial
Jacopo Meglioraldi   +2 more
doaj   +2 more sources

Empirical analysis of adversarial robustness in 3D Gaussian Splatting under multi-view inconsistency attacks [PDF]

open access: yesScientific Reports
3D Gaussian Splatting has emerged as a promising technique for real-time novel view synthesis, achieving rendering quality comparable to neural radiance fields while enabling significantly faster inference.
Hyun Kwon, Jang-Woon Baek
doaj   +2 more sources

PGSR: Planar-based Gaussian Splatting for Efficient and High-Fidelity Surface Reconstruction [PDF]

open access: yesIEEE Transactions on Visualization and Computer Graphics
Recently, 3D Gaussian Splatting (3DGS) has attracted widespread attention due to its high-quality rendering, and ultra-fast training and rendering speed.
Guofeng Zhang, Hujun Bao, Haomin Liu
exaly   +2 more sources

Tortho-Gaussian: splatting true digital orthophoto maps

open access: yesGeo-spatial Information Science
True Digital Orthophoto Maps (TDOMs) are essential products for digital twins and Geographic Information Systems (GIS). Traditionally, TDOM generation involves a complex photogrammetric pipeline, which may deteriorate due to various challenges, including
Xin Wang   +7 more
doaj   +2 more sources

A survey on surface reconstruction based on 3D Gaussian splatting [PDF]

open access: yesPeerJ Computer Science
Surface reconstruction is a foundational topic in computer graphics and has gained substantial research interest in recent years. With the emergence of advanced neural radiance fields (NeRFs) and 3D Gaussian splatting (3D GS), numerous innovative many ...
Zheng Xu   +4 more
doaj   +3 more sources

Arbitrary Optics for Gaussian Splatting Using Space Warping [PDF]

open access: yesJournal of Imaging
Due to recent advances in 3D reconstruction from RGB images, it is now possible to create photorealistic representations of real-world scenes that only require minutes to be reconstructed and can be rendered in real time.
Jakob Nazarenus   +3 more
doaj   +2 more sources

3D Gaussian Splatting for Real-Time Radiance Field Rendering [PDF]

open access: yesACM Transactions on Graphics, 2023
Radiance Field methods have recently revolutionized novel-view synthesis of scenes captured with multiple photos or videos. However, achieving high visual quality still requires neural networks that are costly to train and render, while recent faster ...
Bernhard Kerbl   +3 more
semanticscholar   +1 more source

4D Gaussian Splatting for Real-Time Dynamic Scene Rendering [PDF]

open access: yesComputer Vision and Pattern Recognition, 2023
Representing and rendering dynamic scenes has been an important but challenging task. Especially, to accurately model complex motions, high efficiency is usually hard to guarantee.
Guan-Jun Wu   +8 more
semanticscholar   +1 more source

SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering [PDF]

open access: yesComputer Vision and Pattern Recognition, 2023
We propose a method to allow precise and extremely fast mesh extraction from 3D Gaussian Splatting [15]. Gaussian Splatting has recently become very popular as it yields realistic rendering while being significantly faster to train than NeRFs.
Antoine Guédon, Vincent Lepetit
semanticscholar   +1 more source

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