Results 11 to 20 of about 90,914 (336)

pixelNeRF: Neural Radiance Fields from One or Few Images [PDF]

open access: yesComputer Vision and Pattern Recognition, 2020
We propose pixelNeRF, a learning framework that predicts a continuous neural scene representation conditioned on one or few input images. The existing approach for constructing neural radiance fields [27] involves optimizing the representation to every ...
Alex Yu   +3 more
semanticscholar   +1 more source

Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction [PDF]

open access: yesComputer Vision and Pattern Recognition, 2021
We present a super-fast convergence approach to reconstructing the per-scene radiance field from a set of images that capture the scene with known poses.
Cheng Sun, Min Sun, Hwann-Tzong Chen
semanticscholar   +1 more source

Overview and Algorithmic Approach to Management of Male and Female Pattern Hair Loss

open access: yesIndian Journal of Plastic Surgery, 2021
Male and female pattern hair loss (PHL) is an innocuous condition, but it has a major psychological impact on the sufferer. This paper aims to provide a simple algorithmic approach toward diagnosis, staging, and treatment of PHL in males and females.
Mayank Singh, Aparna Acharya
doaj   +1 more source

Compact 3D Gaussian Representation for Radiance Field [PDF]

open access: yesComputer Vision and Pattern Recognition, 2023
Neural Radiance Fields (NeRFs) have demonstrated re-markable potential in capturing complex 3D scenes with high fidelity. However, one persistent challenge that hin-ders the widespread adoption of NeRFs is the computational bottleneck due to the ...
J. Lee   +4 more
semanticscholar   +1 more source

PlenOctrees for Real-time Rendering of Neural Radiance Fields [PDF]

open access: yesIEEE International Conference on Computer Vision, 2021
We introduce a method to render Neural Radiance Fields (NeRFs) in real time using PlenOctrees, an octree-based 3D representation which supports view-dependent effects.
Alex Yu   +5 more
semanticscholar   +1 more source

Effect of Street Lighting on the Urban and Rural Night-Time Radiance and the Brightness of the Night Sky

open access: yesRemote Sensing, 2021
In April 2020, due to the coronavirus pandemic and the tourism decrease in Cracow (Poland), the Road Authority of the City of Cracow, followed by the authorities of several neighbouring municipalities, decided to turn off street lighting at night.
Tomasz Ściężor
doaj   +1 more source

Evolution of Meteosat Solar and Infrared Spectra (2004–2022) and Related Atmospheric and Earth Surface Physical Properties

open access: yesAtmosphere, 2023
The evolution of atmospheric and Earth surface physical properties over a period of 15 years (based on data from the longer period from 2004 to 2022) is analyzed through the radiance fluxes measured by the Meteosat second generation (MSG) satellite ...
José I. Prieto Fernández   +1 more
doaj   +1 more source

MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereo [PDF]

open access: yesIEEE International Conference on Computer Vision, 2021
We present MVSNeRF, a novel neural rendering approach that can efficiently reconstruct neural radiance fields for view synthesis. Unlike prior works on neural radiance fields that consider per-scene optimization on densely captured images, we propose a ...
Anpei Chen   +6 more
semanticscholar   +1 more source

D-NeRF: Neural Radiance Fields for Dynamic Scenes [PDF]

open access: yesComputer Vision and Pattern Recognition, 2020
Neural rendering techniques combining machine learning with geometric reasoning have arisen as one of the most promising approaches for synthesizing novel views of a scene from a sparse set of images.
Albert Pumarola   +3 more
semanticscholar   +1 more source

NeRSemble: Multi-view Radiance Field Reconstruction of Human Heads [PDF]

open access: yesACM Transactions on Graphics, 2023
We focus on reconstructing high-fidelity radiance fields of human heads, capturing their animations over time, and synthesizing re-renderings from novel viewpoints at arbitrary time steps.
Tobias Kirschstein   +4 more
semanticscholar   +1 more source

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