Results 41 to 50 of about 7,112 (233)

ProteusNeRF: Fast Lightweight NeRF Editing using 3D-Aware Image Context [PDF]

, 2023
Binglun Wang, Niladri Shekhar Dutt, Niloy J. Mitra   +2 more
openalex   +1 more source

A Survey of Methods for Constructing 3D Urban Models From Point Clouds

Computer Graphics Forum, EarlyView.
The survey outlines a general process for constructing 3D models from point clouds and categorizes the methods based on their use of templates, basic surface primitives, hybrid approaches, or linear primitives. Additionally, the survey reviews the datasets and benchmarks that are essential for testing and training the developed methods.
Chiara Romanengo, Silvia Biasotti, Bianca Falcidieno, Daniela Cabiddu, Elia Moscoso Thompson, Michela Spagnuolo   +5 more
wiley   +1 more source

Hyperspectral Neural Radiance Field Method Based on Reference Spectrum

IEEE Access
The Neural Radiance Field (NeRF) method for datasets is gaining attention for its wide applications and research value. Hyperspectral images have also gained many applications in recent years.
Runchuan Ma, Sailing He
doaj   +1 more source

NeRF in detail: Learning to sample for view synthesis [PDF]

, 2021
Relja Arandjelović, Andrew Zisserman
openalex   +1 more source

Breeding 5.0: Artificial intelligence (AI)‐decoded germplasm for accelerated crop innovation

Journal of Integrative Plant Biology, EarlyView.
ABSTRACT Crop breeding technologies are vital for global food security. While traditional methods have improved yield, stress tolerance, and nutrition, rising challenges such as climate instability, land loss, and pest pressure now demand new solutions.
Jiayi Fu, Shouzhi Zheng, Longjiang Fan, Xiaoming Zheng, Qian Qian   +4 more
wiley   +1 more source

Comparative Assessment of Neural Radiance Fields and Photogrammetry in Digital Heritage: Impact of Varying Image Conditions on 3D Reconstruction

Remote Sensing
This paper conducts a comparative evaluation between Neural Radiance Fields (NeRF) and photogrammetry for 3D reconstruction in the cultural heritage domain.
Valeria Croce, Dario Billi, Gabriella Caroti, Andrea Piemonte, Livio De Luca, Philippe Véron   +5 more
doaj   +1 more source

NeRF 3D Reconstruction Method Based on Cone Tracking and Network Decomposition [PDF]

Jisuanji gongcheng
In computer vision, Neural Radiance Fields (NeRF) define processes that use spatial coordinates or other dimensions, such as time and camera pose, as input and simulate the objective function through a Multi-Layer Perceptron (MLP) network to generate the
JING Weipeng, WANG Yuanfeng, LI Chao
doaj   +1 more source

Event-Based Camera Tracker by ∇ _t NeRF [PDF]

, 2023
Mana Masuda, Yusuke Sekikawa, Hideo Saitô   +2 more
openalex   +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

Neural Radiance Fields with Hash-Low-Rank Decomposition

Applied Sciences
In recent advancements in novel view synthesis and neural rendering, neural radiance field (NeRF) has emerged as a powerful technique for synthesizing high-quality novel views of complex 3D scenes.
Jiaxin Wang, Weichen Dai, Kangcheng Ma, Wanzeng Kong   +3 more
doaj   +1 more source