Results 51 to 60 of about 16,932 (278)

Rugularizing generalizable neural radiance field with limited-view images

open access: yesComplex & Intelligent Systems
We present a novel learning model with attention and prior guidance for view synthesis. In contrast to previous works that focus on optimizing for specific scenes with densely captured views, our model explores a generic deep neural framework to ...
Wei Sun   +4 more
doaj   +1 more source

Embracing Radiance Field Rendering in 6G: Over-the-Air Training and Inference With 3-D Contents

open access: yesIEEE Open Journal of the Communications Society
The efficient representation, transmission, and reconstruction of three-dimensional (3D) contents are becoming increasingly important for sixth-generation (6G) networks that aim to merge virtual and physical worlds for offering immersive communication ...
Guanlin Wu   +3 more
doaj   +1 more source

Diffusion Spectrum Imaging Maps Early Axonal Loss and a Unique Progressive Signal in Neuronal Intranuclear Inclusion Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To delineate specific in vivo white matter pathology in neuronal intranuclear inclusion disease (NIID) using diffusion spectrum imaging (DSI) and define its clinical relevance. Methods DSI was performed on 42 NIID patients and 38 matched controls.
Kaiyan Jiang   +10 more
wiley   +1 more source

Neural Radiance Fields-Comprehensive Survey

open access: yes, 2023
Neural Radiance Fields (NeRF) is a machine learning model that can generate high-resolution, photorealistic 3D models of scenes or objects from a set of 2D images. It does this by learning a continuous 3D function that maps positions in 3D space to the radiance (intensity and color) of the light that would be observed at that position in the scene.
openaire   +1 more source

Separating Reflection and Transmission Images in the Wild

open access: yes, 2018
The reflections caused by common semi-reflectors, such as glass windows, can impact the performance of computer vision algorithms. State-of-the-art methods can remove reflections on synthetic data and in controlled scenarios.
AK Barros   +9 more
core   +1 more source

Value of MRI Outcomes for Preventive and Early‐Stage Trials in Spinocerebellar Ataxias 1 and 3

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To examine the value of MRI outcomes as endpoints for preventive and early‐stage trials of two polyglutamine spinocerebellar ataxias (SCAs). Methods A cohort of 100 participants (23 SCA1, 63 SCA3, median Scale for the Assessment and Rating of Ataxia (SARA) score = 5, 42% preataxic, and 14 gene‐negative controls) was scanned at 3T up ...
Thiago J. R. Rezende   +26 more
wiley   +1 more source

Neural-radiance-fields-based holography [Invited]

open access: yesApplied Optics
This study presents, to the best of our knowledge, a novel approach for generating holograms based on the neural radiance fields (NeRF) technique. Generating real-world three-dimensional (3D) data is difficult in hologram computation. NeRF is a state-of-the-art technique for 3D light-field reconstruction from 2D images based on volume rendering.
Minsung Kang   +4 more
openaire   +2 more sources

Paramagnetic Rim Lesions Are Associated With Trans‐Synaptic Degeneration of the Visual Pathway in Multiple Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Retrograde trans‐synaptic degeneration (rTSD) from posterior visual pathway lesions in multiple sclerosis (MS) is characterized by hemi‐macular ganglion cell‐inner plexiform layer (GCIPL) thinning and contralateral visual field loss.
Abdul Jaber Tayem   +17 more
wiley   +1 more source

Expansive Supervision for Neural Radiance Fields

open access: yes2025 IEEE International Conference on Multimedia and Expo (ICME)
Neural Radiance Field (NeRF) has achieved remarkable success in creating immersive media representations through its exceptional reconstruction capabilities. However, the computational demands of dense forward passes and volume rendering during training continue to challenge its real-world applications. In this paper, we introduce Expansive Supervision
Zhang, Weixiang   +5 more
openaire   +2 more sources

NeRF2: Neural Radio-Frequency Radiance Fields

open access: yesProceedings of the 29th Annual International Conference on Mobile Computing and Networking, 2023
Although Maxwell discovered the physical laws of electromagnetic waves 160 years ago, how to precisely model the propagation of an RF signal in an electrically large and complex environment remains a long-standing problem. The difficulty is in the complex interactions between the RF signal and the obstacles (e.g., reflection, diffraction, etc ...
Xiaopeng Zhao   +3 more
openaire   +2 more sources

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