Results 31 to 40 of about 16,932 (278)
PyNeRF: Pyramidal Neural Radiance Fields
, 2023 Neural Radiance Fields (NeRFs) can be dramatically accelerated by spatial grid representations. However, they do not explicitly reason about scale and so introduce aliasing artifacts when reconstructing scenes captured at different camera distances. Mip-NeRF and its extensions propose scale-aware renderers that project volumetric frustums rather than ...
Turki, Haithem +3 more
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Acceleration Approach for Neural Radiance Field in Dynamic 3D Human Reconstruction [PDF]
Jisuanji gongchengThis study proposes a novel acceleration method for the Neural Radiance Field (NeRF) in dynamic 3D human reconstruction to address the challenges of low training efficiency and high computational complexity in volume rendering.
XIAO Yilong, DENG Yiqin, CHEN Zhigang
doaj +1 more source
Buildings, 2023 For the surface defects inspection task, operators need to check the defect in local detail images by specifying the location, which only the global 3D model reconstruction can’t satisfy.
Kunlong Hong +2 more
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Potential of wind turbines to elicit seizures under various meteorological conditions [PDF]
, 2010 Purpose: To determine the potential risk of epileptic seizures from wind turbine shadow flicker under various meteorologic conditions. Methods: We extend a previous model to include attenuation of sunlight by the atmosphere using the libradtran radiative
Binnie +13 more
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Neural Radiance Field for Human Reconstruction Based on Multi-scale Hierarchical Network [PDF]
Jisuanji kexueThe reconstruction of 3D human models from monocular RGB video faces challenges in accurately capturing human poses,especially when using prior models like SMPL.Due to its rigid assumptions,such models struggle to depict subtle pose variations,leading to
WANG Yang, WANG Guodong, ZHAO Junli, SHENG Xiaomeng
doaj +1 more source
Generative Neural Articulated Radiance Fields
, 2022 Unsupervised learning of 3D-aware generative adversarial networks (GANs) using only collections of single-view 2D photographs has very recently made much progress. These 3D GANs, however, have not been demonstrated for human bodies and the generated radiance fields of existing frameworks are not directly editable, limiting their applicability in ...
Bergman, Alexander W. (author) +5 more
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Reconstructing Continuous Light Field From Single Coded Image
IEEE Access, 2023 We propose a method for reconstructing a continuous light field of a target scene from a single observed image. Our method takes the best of two worlds: joint aperture-exposure coding for compressive light-field acquisition, and a neural radiance field ...
Yuya Ishikawa +3 more
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NeRFlex: Flexible Neural Radiance Fields With Diffeomorphic Deformation
IEEE AccessDue to the vast array of NeRF-based techniques, the representation power of Neural Radiance Fields (NeRF) has been quickly rising in recent years. However, it is still difficult to offer fresh perspectives for user-controlled geometry alterations with ...
Jiyoon Shin, Sangwoo Hong, Jungwoo Lee
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MaRF: Representing Mars as Neural Radiance Fields
, 2023 The aim of this work is to introduce MaRF, a novel framework able to synthesize the Martian environment using several collections of images from rover cameras. The idea is to generate a 3D scene of Mars' surface to address key challenges in planetary surface exploration such as: planetary geology, simulated navigation and shape analysis. Although there
Giusti, Lorenzo +5 more
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Plenoxels: Radiance Fields without Neural Networks
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 For video and code, please see https://alexyu.net ...
Yu, Alex +5 more
openaire +2 more sources