Results 71 to 80 of about 429 (147)
This study proposes an innovative method that integrates multi-source remote sensing technologies and artificial intelligence to meet the urgent needs of deformation monitoring and ecohydrological environment analysis in Great Wall heritage protection ...
Ruoxin Wang +5 more
doaj +1 more source
CuRast: Cuda‐Based Software Rasterization for Billions of Triangles
Abstract This paper presents a CUDA‐based software rasterizer capable of rendering up to a billion unique triangles, or up to 4 billion instanced triangles, in real time at 60 fps on an RTX 5090. By specifically targeting dense, opaque meshes, our approach is able to outperform the native GPU rasterization pipeline in these scenarios.
M. Schütz +3 more
wiley +1 more source
Variational Bayes Gaussian Splatting
Recently, 3D Gaussian Splatting has emerged as a promising approach for modeling 3D scenes using mixtures of Gaussians. The predominant optimization method for these models relies on backpropagating gradients through a differentiable rendering pipeline, which struggles with catastrophic forgetting when dealing with continuous streams of data.
Toon Van de Maele +4 more
openaire +2 more sources
Abstract Precomputation and efficient approximate material models are well‐known approaches for achieving real‐time rendering with global illumination. Recent research in radiance fields and in particular 3D Gaussian Splatting has demonstrated the power of Gaussian primitives both to represent radiance and for fast optimization.
I. Shah, S. Lucas, G. Drettakis
wiley +1 more source
Gaussian Splatting Lucas-Kanade
International Conference on Learning ...
Liuyue Xie +3 more
openaire +3 more sources
Deblur Gaussian Splatting SLAM
We present Deblur-SLAM, a robust RGB SLAM pipeline designed to recover sharp reconstructions from motion-blurred inputs. The proposed method bridges the strengths of both frame-to-frame and frame-to-model approaches to model sub-frame camera trajectories that lead to high-fidelity reconstructions in motion-blurred settings.
Francesco Girlanda +3 more
openaire +2 more sources
UDGS-SLAM: UniDepth Assisted Gaussian Splatting for Monocular SLAM
Recent advancements in monocular neural depth estimation, particularly those achieved by the UniDepth network, have prompted the investigation of integrating UniDepth within a Gaussian splatting framework for monocular SLAM. This study presents UDGS-SLAM,
Mostafa Mansour +4 more
doaj +1 more source
A comparative evaluation of 3D reconstruction with photogrammetry, NeRFs and 3D Gaussian Splatting in Cultura Heritage Restoration [PDF]
In the domain of Cultural Heritage Restoration, the demand for high-fidelity 3D models with accurate textures and geometry is critical for documentation, analysis, and conservation.
M. Carmeliti, S. Marziali
doaj +1 more source
Beyond Spherical Harmonics: Rethinking Appearance Models for Radiance Reconstruction
Abstract View‐dependent appearance modeling remains a challenging problem in novel‐view synthesis and reconstruction. Accurately representing complex angular effects often requires substantial memory and computational resources. For new learning‐based methods, a common approach is to rely on Spherical Harmonics (SH).
Ewa Miazga, Jorge Condor, Piotr Didyk
wiley +1 more source
Geometry-Grounded Gaussian Splatting
Gaussian Splatting (GS) has demonstrated impressive quality and efficiency in novel view synthesis. However, shape extraction from Gaussian primitives remains an open problem. Due to inadequate geometry parameterization and approximation, existing shape reconstruction methods suffer from poor multi-view consistency and are sensitive to floaters.
Baowen Zhang +4 more
openaire +2 more sources

