Results 141 to 150 of about 16,932 (278)
Benchmarking Robustness in Neural Radiance Fields
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)Neural Radiance Field (NeRF) has demonstrated excellent quality in novel view synthesis, thanks to its ability to model 3D object geometries in a concise formulation. However, current approaches to NeRF-based models rely on clean images with accurate camera calibration, which can be difficult to obtain in the real world, where data is often subject to ...
Wang, Chen +4 more
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A review of dynamic scene reconstruction based on neural representation
Dianxin kexueDynamic scene reconstruction holds significant research value in the fields of computer vision and virtual reality. Recent advancements in neural representation technologies have facilitated rapid progress in this task.
LU Ping +6 more
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An Improved NeRF-Based Method for Augmenting, Registering, and Fusing Visible and Infrared Images
PhotonicsMultimodal image fusion is an efficient information integration technique, with infrared and visible light image fusion playing a critical role in tasks such as object detection and recognition.
Yuanxin Shang +5 more
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Hard‐Magnetic Soft Millirobots in Underactuated Systems
Advanced Robotics Research, EarlyView.This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang +4 more
wiley +1 more source
Neural Radiance Fields with Torch Units
Neural Radiance Fields (NeRF) give rise to learning-based 3D reconstruction methods widely used in industrial applications. Although prevalent methods achieve considerable improvements in small-scale scenes, accomplishing reconstruction in complex and large-scale scenes is still challenging.
Ni, Bingnan +6 more
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Res-NeuS: Deep Residuals and Neural Implicit Surface Learning for Multi-View Reconstruction
SensorsSurface reconstruction using neural networks has proven effective in reconstructing dense 3D surfaces through image-based neural rendering. Nevertheless, current methods are challenging when dealing with the intricate details of large-scale scenes.
Wei Wang, Fengjiao Gao, Yongliang Shen
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Advanced Robotics Research, EarlyView.A flexible liquid‐crystalline electrolyte membrane via in situ photopolymerization of a phosphate‐functionalized mesogen, ionic liquid, and diacrylate monomer is developed. The resulting smectic B (SmB)‐phase structure enables 2D ion transport with high conductivity (10−4 S cm−1).
Chengyang Liu, Masafumi Yoshio
wiley +1 more source
IEEE AccessWe present an efficient approach for monocular 4D facial avatar reconstruction using a dynamic neural radiance field (NeRF). Over the years, NeRFs have been popular methods for 3D scene representation, but lack computational efficiency and controllabilty,
Jeong-Gi Kwak, Hanseok Ko
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3D Printing of Soft Robotic Systems: Advances in Fabrication Strategies and Future Trends
Advanced Robotics Research, EarlyView.Collectively, this review systematically examines 3D‐printed soft robotics, encompassing material selections, function integration, and manufacturing methodologies. Meanwhile, fabrication strategies are analyzed in order of increasing complexity, highlighting persistent challenges with proposed solutions.
Changjiang Liu +5 more
wiley +1 more source
DronesUnmanned vehicles are becoming increasingly essential in executing high-risk missions in unknown environments such as search and rescue. As the complexity of operational environments escalates, carrying out unmanned tasks becomes cumbersome or even ...
Chenxi Lu, Meng Yu, Yin Wang, Hua Li
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