Results 141 to 150 of about 24,246 (264)

$S^2$NeRF: Privacy-preserving Training Framework for NeRF [PDF]

Neural Radiance Fields (NeRF) have revolutionized 3D computer vision and graphics, facilitating novel view synthesis and influencing sectors like extended reality and e-commerce.
Yang, Jinglan, Zhang, Yanglin, Zhang, Zhikun, Wu, Junfeng, Zhang, Bokang, Huang, Lingying   +5 more
core   +1 more source

Visual Localization Using Implicit Representations and Particle Filtering-Based Pose Refinement

IEEE Access
This work proposes HAL-NeRF v2, a localization pipeline that couples direct pose regression with Monte Carlo–based refinement on neural scene representations.
Grigorios-Aris Cheimariotis, Dimitrios Zarpalas   +1 more
doaj   +1 more source

Recent Trends in Inverse Rendering

Computer Graphics Forum, EarlyView.
This survey reviews 84 papers published between 2020 and 2025 on inverse rendering methods, introducing a taxonomy based on input data, scene representations, optimization strategies, and evaluation methods. We analyze emerging trends in neural, differentiable, and Gaussian‐splatting approaches, discuss applications, and identify key challenges and ...
S. Ullah, F. Pellacini, A. Giachetti
wiley   +1 more source

Aleth-NeRF: Illumination Adaptive NeRF with Concealing Field Assumption

Proceedings of the AAAI Conference on Artificial Intelligence
The standard Neural Radiance Fields (NeRF) paradigm employs a viewer-centered methodology, entangling the aspects of illumination and material reflectance into emission solely from 3D points. This simplified rendering approach presents challenges in accurately modeling images captured under adverse lighting conditions, such as low light or over ...
Ziteng Cui, Lin Gu 0003, Xiao Sun 0001, Xianzheng Ma, Yu Qiao 0001, Tatsuya Harada   +5 more
openaire   +3 more sources

MBS-NeRF: reconstruction of sharp neural radiance fields from motion-blurred sparse images

Scientific Reports
The recent advance in Neural Radiance Fields (NeRF), which utilizes Multilayer Perceptrons (MLP) for implicit scene representation, enables the synthesis of realistic views from new perspectives.
Changbo Gao, Qiucheng Sun, Jinlong Zhu, Jie Chen   +3 more
doaj   +1 more source

Le schwannome malin du nerf grand sciatique chez l'enfant

The Pan African Medical Journal, 2012
Le schwannome malin est une tumeur très rare chez l'enfant (1 à 2% des tumeurs des tissus mous), elle se développe au dépend des cellules de Schwanne. Dans ce travail, les auteurs rapportent un cas de schwannome malin développé au dépend du nerf grand ...
Maryem Lechqar, Imad Elbiache, Karima Atarraf, Youssef Bouabdellah, My Abderahman Afifi   +4 more
doaj   +1 more source

Obtaining full‐arch implant scan with smartphone video and deep learning: An in vitro investigation on trueness and precision

Journal of Prosthodontics, EarlyView.
Abstract Purpose To investigate the accuracy of complete‐arch implant scans generated by a smartphone camera and a deep learning model. Materials and Methods A deep learning model was trained to generate 3D scans from smartphone videos using a maxillary edentulous model with 6 implants and scan bodies (SBs).
Junying Li, Zhaozhao Chen, Fei Liu, Berna Saglik, Gustavo Mendonca, Hom‐Lay Wang   +5 more
wiley   +1 more source

Explicit-NeRF-QA: A Quality Assessment Database for Explicit NeRF Model Compression [PDF]

In recent years, Neural Radiance Fields (NeRF) have demonstrated significant advantages in representing and synthesizing 3D scenes. Explicit NeRF models facilitate the practical NeRF applications with faster rendering speed, and also attract considerable
Xing, Yuke, Xu, Yilin, Li, Zhu, Yang, Qi, Yang, Kaifa   +4 more
core   +1 more source

Paralysie de la branche externe du nerf spinal sur cicatrice cheloide

The Pan African Medical Journal, 2016
La paralysie de la branche externe du Nerf Spinal est trés rare. Elle réalise un tableau clinique associant une faiblesse et une morphologie anormale de l'épaule. Il faut y penser devant toute chirurgie méme simple de la région cervicale. Nous rapportons
Samia Frioui, Faycel Khachnaoui
doaj   +1 more source

Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang, Daeun Choi, Damian Adams, Jaehyun Ahn, Kelly Balmant, Raquel Dias, Carlos D. Messina, Rafael Muñoz‐Carpena, Vance M. Whitaker, Haipeng Yu, Ziwen Yu, Chang Zhao, Changying Li   +12 more
wiley   +1 more source