Results 81 to 90 of about 4,408 (223)
High‐Gloss SVBRDF Capture Using Bounce Light
Computer Graphics Forum, EarlyView.Abstract Reflectance capture aims at the visual reproduction of an object under varying illumination. Past works differ substantially in their experimental overhead, from single‐ or few‐image approaches, that employ significant (often learned) priors at the expense of biased reconstructions, to more accurate approaches that tend to be time‐consuming ...
Tomáš Iser +2 more
wiley +1 more source
NeRF-Texture: Synthesizing Neural Radiance Field Textures
IEEE Transactions on Pattern Analysis and Machine IntelligenceTexture synthesis is a fundamental problem in computer graphics that would benefit various applications. Existing methods are effective in handling 2D image textures. In contrast, many real-world textures contain meso-structure in the 3D geometry space, such as grass, leaves, and fabrics, which cannot be effectively modeled using only 2D image textures.
Yihua Huang 0002 +4 more
openaire +3 more sources
SICE Journal of Control, Measurement, and System IntegrationWe investigated the feasibility of using a 3D point cloud estimated by a neural radiance field (NeRF). We evaluated the quality of point clouds reconstructed with NeRF and multi-view stereo.
Yuta Tsukamoto +3 more
doaj +1 more source
nerf2nerf: Pairwise Registration of Neural Radiance Fields
, 2022 We introduce a technique for pairwise registration of neural fields that extends classical optimization-based local registration (i.e. ICP) to operate on Neural Radiance Fields (NeRF) -- neural 3D scene representations trained from collections of ...
Garg, Animesh +4 more
core
OUGS: Active View Selection via Object‐aware Uncertainty Estimation in 3DGS
Computer Graphics Forum, EarlyView.Abstract Recent advances in 3D Gaussian Splatting (3DGS) have achieved state‐of‐the‐art results for novel view synthesis. However, efficiently capturing high‐fidelity reconstructions of specific objects within complex scenes remains a significant challenge.
Haiyi Li +3 more
wiley +1 more source
TreeON: Reconstructing 3D Tree Point Clouds from Orthophotos and Heightmaps
Computer Graphics Forum, EarlyView.Abstract We present TreeON, a novel neural‐based framework for reconstructing detailed 3D tree point clouds from sparse top‐down geodata, using only a single orthophoto and its corresponding Digital Surface Model (DSM). Our method introduces a new training supervision strategy that combines both geometric supervision and a differentiable shadow and ...
Angeliki Grammatikaki +4 more
wiley +1 more source
Constraining the Geometry of NeRFs for Accurate DSM Generation from Multi-View Satellite Images
ISPRS International Journal of Geo-InformationNeural Radiance Fields (NeRFs) are an emerging approach to 3D reconstruction that use neural networks to reconstruct scenes. However, its applications for multi-view satellite photogrammetry, which aim to reconstruct the Earth’s surface, struggle to ...
Qifeng Wan +4 more
doaj +1 more source
LeafFit: Plant Assets Creation from 3D Gaussian Splatting
Computer Graphics Forum, EarlyView.Abstract We propose LeafFit, a pipeline that converts 3D Gaussian Splatting (3DGS) of individual plants into editable, instanced mesh assets. While 3DGS faithfully captures complex foliage, its high memory footprint and lack of mesh topology make it incompatible with traditional game production workflows. We address this by leveraging the repetition of
Chang Luo, Nobuyuki Umetani
wiley +1 more source
Neural Radiance Fields (NeRFs) in Orthopedics
, 2023 Dissertação de Mestrado em Engenharia Eletrotécnica e de Computadores apresentada à Faculdade de Ciências e ...
openaire +1 more source
Surf-NeRF: Surface Regularised Neural Radiance Fields
CoRR20 pages, 17 figures, 9 tables, project page can be found at http://roboticimaging.org/Projects ...
Jack Naylor +2 more
openaire +2 more sources