Geo2DGS‐SLAM: Geometry‐Driven SLAM With 2D Gaussian Splatting
ABSTRACT Recent advances in SLAM systems based on 3D Gaussian Splatting have enabled dense and photorealistic scene reconstruction. However, 3DGS‐based methods still suffer from limited geometric awareness due to the lack of normal rendering support, view inconsistency and weak depth constraints, ultimately hindering high‐fidelity geometric ...
Weiqing Yan +4 more
wiley +1 more source
AdR-Gaussian: Accelerating Gaussian Splatting with Adaptive Radius [PDF]
3D Gaussian Splatting (3DGS) is a recent explicit 3D representation that has achieved high-quality reconstruction and real-time rendering of complex scenes.
Ma, Lizhuang, Yi, Ran, Wang, Xinzhe
core +1 more source
Bundle-Adjusted Initialization for Efficient Earth Observation Gaussian Splatting [PDF]
Satellite imagery offers a distinct advantage in Earth observation by providing expansive coverage and enabling the monitoring of inaccessible regions without physical on-site intervention, serving as a significantly more cost-effective and scalable ...
J. Kim, S. Song, S. Song, R. Qin, R. Qin
doaj +1 more source
Splatshop: Efficiently Editing Large Gaussian Splat Models
Abstract We present Splatshop, a highly optimized toolbox for interactive editing (selection, deletion, painting, transformation, …) of 3D Gaussian Splatting models. Utilizing a comprehensive collection of heuristic approaches, we carefully balance between exact and fast rendering to enable precise editing without sacrificing real‐time performance. Our
Markus Schütz +5 more
wiley +1 more source
HoloGS: Instant Depth-based 3D Gaussian Splatting with Microsoft HoloLens 2 [PDF]
In the fields of photogrammetry, computer vision and computer graphics, the task of neural 3D scene reconstruction has led to the exploration of various techniques.
M. Jäger +5 more
doaj +1 more source
Dr. Splat: Directly Referring 3D Gaussian Splatting via Direct Language Embedding Registration [PDF]
We introduce Dr. Splat, a novel approach for open-vocabulary 3D scene understanding leveraging 3D Gaussian Splatting. Unlike existing language-embedded 3DGS methods, which rely on a rendering process, our method directly associates language-aligned CLIP ...
Jun-Seong Kim +5 more
semanticscholar +1 more source
PSHead: 3D Head Reconstruction from a Single Image with Diffusion Prior and Self‐Enhancement
We introduce PSHead, a coarse‐to‐fine framework guided by both object and face priors, to produce a Gaussian‐based 3D avatar for a single frontal‐view reference image. In the coarse stage, we create an initial 3D representation by applying diffusion models trained for general object generation, using Score Distillation Sampling losses over novel views.
Jing Yang +4 more
wiley +1 more source
BrushGaussian: Brushstroke-Based Stylization for 3D Gaussian Splatting
We present a method for enhancing 3D Gaussian Splatting primitives with brushstroke-aware stylization. Previous approaches to 3D style transfer are typically limited to color or texture modifications, lacking an understanding of artistic shape ...
Zhi-Zheng Xiang +2 more
doaj +1 more source
GAGS: Gradient-Guided Adaptive Gaussian Splatting for Efficient and Geometry-Regularized Surface Reconstruction [PDF]
While 3D Gaussian Splatting (3DGS) has advanced surface reconstruction, existing implementations face critical challenges in memory efficiency and geometric fidelity. Current approaches like PGSR generate excessive Gaussian primitives due to uncontrolled
Y. Hou, T. Wang, X. Wang, Z. Zhan
doaj +1 more source
HAC++: Towards 100X Compression of 3D Gaussian Splatting [PDF]
3D Gaussian Splatting (3DGS) has emerged as a promising representation for novel view synthesis, boosting rapid rendering speed with high fidelity. However, the substantial Gaussians and their associated attributes necessitate effective compression ...
Yi-Hang Chen +4 more
semanticscholar +1 more source

