Results 111 to 120 of about 2,993 (218)
Text-to-3D, known for its efficient generation methods and expansive creative potential, has garnered significant attention in the AIGC domain. However, the amalgamation of Nerf and 2D diffusion models frequently yields oversaturated images, posing ...
Li, Xinhai +2 more
core
Simultaneous Localization and Mapping (SLAM) methods are used in autonomous systems to determine their locations in unknown environments and map these environments. Autonomous systems need to act autonomously without external intervention.
Ali Furkan Kamanlı, Cemil Zeyveli
doaj +1 more source
Simultaneously localizing camera poses and constructing Gaussian radiance fields in dynamic scenes establish a crucial bridge between 2D images and the 4D real world. Instead of removing dynamic objects as distractors and reconstructing only static environments, this paper proposes an efficient architecture that incrementally tracks camera poses and ...
Li, Yanyan +5 more
openaire +2 more sources
Z-Splat: Z-Axis Gaussian Splatting for Camera-Sonar Fusion
Differentiable 3D-Gaussian splatting (GS) is emerging as a prominent technique in computer vision and graphics for reconstructing 3D scenes. GS represents a scene as a set of 3D Gaussians with varying opacities and employs a computationally efficient splatting operation along with analytical derivatives to compute the 3D Gaussian parameters given scene
Ziyuan Qu +7 more
openaire +3 more sources
Utilizing JIT Python runtime and parameter optimization for CPU-based Gaussian Splatting thumbnailer
Gaussian Splatting has emerged as a powerful technique for high-fidelity 3D scene representation, yet its computational demands hinder rapid visualization, particularly on CPU-based systems.
Evgeni Genchev +3 more
doaj +1 more source
MVS-Splatting: Fast Multi-View Stereo Depth Fusion for 3D Gaussian Splatting Initialization
Images and videos allow us to explore places and connect to people all around the world, in the present or past. What if we could break through the glass screen in front of us and step into those camera captures.
Julie Artois +2 more
doaj +1 more source
Splat-LOAM: Gaussian Splatting LiDAR Odometry and Mapping
LiDARs provide accurate geometric measurements, making them valuable for ego-motion estimation and reconstruction tasks. Although its success, managing an accurate and lightweight representation of the environment still poses challenges. Both classic and NeRF-based solutions have to trade off accuracy over memory and processing times.
Giacomini, Emanuele +4 more
openaire +2 more sources
Analytic-Splatting: Anti-Aliased 3D Gaussian Splatting via Analytic Integration
The 3D Gaussian Splatting (3DGS) gained its popularity recently by combining the advantages of both primitive-based and volumetric 3D representations, resulting in improved quality and efficiency for 3D scene rendering. However, 3DGS is not alias-free, and its rendering at varying resolutions could produce severe blurring or jaggies.
Zhihao Liang +5 more
openaire +2 more sources
Relaxing Accurate Initialization for Monocular Dynamic Scene Reconstruction with Gaussian Splatting
Monocular dynamic scene reconstruction is a challenging task due to the inherent limitation of observing the scene from a single viewpoint at each timestamp, particularly in the presence of object motion and illumination changes.
Xinyu Wang +4 more
doaj +1 more source
Splats in Splats: Robust and Effective 3D Steganography towards Gaussian Splatting
3D Gaussian splatting (3DGS) has demonstrated impressive 3D reconstruction performance with explicit scene representations. Given the widespread application of 3DGS in 3D reconstruction and generation tasks, there is an urgent need to protect the copyright of 3DGS assets. However, existing copyright protection techniques for 3DGS overlook the usability
Guo, Yijia +8 more
openaire +2 more sources

