Results 111 to 120 of about 397 (144)
Li-GS: a fast 3D Gaussian reconstruction method assisted by LiDAR point clouds
Digital twin technology, serving as a bridge between the physical and digital worlds, has demonstrated significant potential across various fields. In the domain of 3D reconstruction, recent advancements in Neural Radiance Fields (NeRF) and 3D Gaussian ...
Wenzhuo Chen +3 more
doaj +1 more source
Mesh-Driven 3D Gaussian Splat Manipulation
Manipulating 3D Gaussian Splatting (3DGS) models currently lacks the flexibility of traditional mesh workflows as existing tools require costly retraining or are simply too restrictive. We present a realtime manipulation pipeline that enables mesh-driven editing for arbitrary pre-trained 3DGS models without re-optimization.
Lander Durie +3 more
openaire +2 more sources
ARS-GS: Anisotropic Reflective Spherical 3D Gaussian Splatting
3D scene reconstruction serves as a fundamental technology with widespread applications in virtual reality, structural inspection, and robotic systems.
Chenrui Wu +3 more
doaj +1 more source
A New Split Algorithm for 3D Gaussian Splatting
11 pages, 10 ...
Qiyuan Feng +5 more
openaire +2 more sources
PCGS: Progressive Compression of 3D Gaussian Splatting
3D Gaussian Splatting (3DGS) achieves impressive rendering fidelity and speed for novel view synthesis. However, its substantial data size poses a significant challenge for practical applications. While many compression techniques have been proposed, they fail to efficiently utilize existing bitstreams in on-demand applications due to their lack of ...
Yihang Chen 0002 +5 more
openaire +2 more sources
Tortho-Gaussian: splatting true digital orthophoto maps
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 +1 more source
Gaussian in the Wild: 3D Gaussian Splatting for Unconstrained Image Collections
Novel view synthesis from unconstrained in-the-wild images remains a meaningful but challenging task. The photometric variation and transient occluders in those unconstrained images make it difficult to reconstruct the original scene accurately. Previous approaches tackle the problem by introducing a global appearance feature in Neural Radiance Fields (
Dongbin Zhang +5 more
openaire +2 more sources
LiDAR-enhanced 3D Gaussian Splatting Mapping
This paper introduces LiGSM, a novel LiDAR-enhanced 3D Gaussian Splatting (3DGS) mapping framework that improves the accuracy and robustness of 3D scene mapping by integrating LiDAR data. LiGSM constructs joint loss from images and LiDAR point clouds to estimate the poses and optimize their extrinsic parameters, enabling dynamic adaptation to ...
Jian Shen +4 more
openaire +2 more sources
A review of dynamic scene reconstruction based on neural representation
Dynamic scene reconstruction holds significant research value in the fields of computer vision and virtual reality. Recent advancements in neural representation technologies have facilitated rapid progress in this task.
LU Ping +6 more
doaj
Flash-Splat: 3D Reflection Removal with Flash Cues and Gaussian Splats
We introduce a simple yet effective approach for separating transmitted and reflected light. Our key insight is that the powerful novel view synthesis capabilities provided by modern inverse rendering methods (e.g.,~3D Gaussian splatting) allow one to perform flash/no-flash reflection separation using unpaired measurements -- this relaxation ...
Mingyang Xie +6 more
openaire +2 more sources

