Results 21 to 30 of about 3,037 (213)
Deep Bilateral Learning for Real-Time Image Enhancement [PDF]
Performance is a critical challenge in mobile image processing. Given a reference imaging pipeline, or even human-adjusted pairs of images, we seek to reproduce the enhancements and enable real-time evaluation. For this, we introduce a new neural network
Frédo Durand +6 more
core +3 more sources
GS4Buildings: Prior-Guided Gaussian Splatting for 3D Building Reconstruction [PDF]
Recent advances in Gaussian Splatting (GS) have demonstrated its effectiveness in photo-realistic rendering and 3D reconstruction. Among these, 2D Gaussian Splatting (2DGS) is particularly suitable for surface reconstruction due to its flattened Gaussian
Q. Zhang, O. Wysocki, B. Jutzi
doaj +1 more source
04172 Abstracts Collection -- Perspectives Workshop: Visualization and Image Processing of Tensor Fields [PDF]
From 18.04.04 to 23.04.04, the Dagstuhl Seminar 04172 ``Perspectives Workshop: Visualization and Image Processing of Tensor Fields\u27\u27 was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl.
Hagen, Hans, Weickert, Joachim
core +1 more source
Orthophoto generation with gaussian splatting: mitigating reflective surface artifacts in imagery from low-cost sensors [PDF]
Orthophotos offer a distortion-free and high-resolution depiction of architectural and mechanical elements, serving critical functions in reverse engineering, defect detection, and condition assessment.
M. Previtali +2 more
doaj +1 more source
Comprehensive Use of Curvature for Robust and Accurate Online Surface Reconstruction [PDF]
Interactive real-time scene acquisition from hand-held depth cameras has recently developed much momentum, enabling applications in ad-hoc object acquisition, augmented reality and other fields.
Kluge, M +4 more
core +1 more source
Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks
Bilateral filters have wide spread use due to their edge-preserving properties. The common use case is to manually choose a parametric filter type, usually a Gaussian filter.
Gehler, Peter V. +2 more
core +1 more source
Surfels: Surface Elements as Rendering Primitives [PDF]
Surface elements (surfels) are a powerful paradigm to efficiently render complex geometric objects at interactive frame rates. Unlike classical surface discretizations, i.e., triangles or quadrilateral meshes, surfels are point primitives without ...
Gross, Markus +3 more
core +1 more source
Mip-Splatting: Alias-Free 3D Gaussian Splatting
Project page: https://niujinshuchong.github.io/mip-splatting/
Yu, Zehao +4 more
openaire +2 more sources
Several studies have explored the use of hologram technology in architecture and urban design, demonstrating its feasibility. Holograms can represent 3D spatial data and offer an immersive experience, potentially replacing traditional methods such as ...
Tam Le Phuc Do +5 more
doaj +1 more source
Deep Projective 3D Semantic Segmentation
Semantic segmentation of 3D point clouds is a challenging problem with numerous real-world applications. While deep learning has revolutionized the field of image semantic segmentation, its impact on point cloud data has been limited so far.
AE Johnson +6 more
core +1 more source

