Results 131 to 140 of about 3,318,906 (295)

Neural-radiance-fields-based holography [Invited]

Applied 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, Fan Wang, Kai Kumano, Tomoyoshi Ito, Tomoyoshi Shimobaba   +4 more
openaire   +3 more sources

From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures

Advanced Robotics Research, EarlyView.
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley   +1 more source

IReNe: Instant Recoloring of Neural Radiance Fields

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Advances in NERFs have allowed for 3D scene reconstructions and novel view synthesis. Yet, efficiently editing these representations while retaining photorealism is an emerging challenge. Recent methods face three primary limitations: they're slow for interactive use, lack precision at object boundaries, and struggle to ensure multi-view consistency ...
Alessio Mazzucchelli, Adrian Garcia-Garcia, Elena Garces 0001, Fernando Rivas-Manzaneque, Francesc Moreno-Noguer, Adrián Peñate Sánchez   +5 more
openaire   +4 more sources

Language-driven Object Fusion into Neural Radiance Fields with Pose-Conditioned Dataset Updates

Language-driven Object Fusion into Neural Radiance Fields with Pose-Conditioned Dataset ...
SK Yeung (14637905), J Kim (7489577), KC Shum (20153106), Duc Thanh Nguyen (13087251), BS Hua (14584157)   +4 more
core  

3D Printing of Self‐Healing Polymers by Material Extrusion: A Process‐Centric Review of Setups, Parameters, and Applications

Advanced Robotics Research, EarlyView.
This review highlights recent advances in material extrusion 3D printing of self‐healing polymers, focusing on the interplay between material chemistry, rheology, hardware customization, and process optimization. Filament‐ and ink‐based extrusion strategies, multimaterial architectures, and postprocessing approaches are discussed for applications in ...
Antonio Pavone, Gianni Stano, Gianluca Percoco   +2 more
wiley   +1 more source

Cyclodextrin‐Functionalized Light‐Driven Cu2O Micromotors for Simultaneous Capture and Degradation of Bisphenol A

Advanced Robotics Research, EarlyView.
Fuel‐free Cu2O‐based micromotors functionalized with β‐cyclodextrin actively remove bisphenol A from water under visible light. The cyclodextrin shell captures BPA and enhances micromotor motility, leading to faster degradation and higher overall removal than nonfunctionalized Cu2O and Cu2O@Au.
Luisa Natalia Cordoba Urresti, Rebeca Ferrer Campos, Yufen Chen, Katherine Villa   +3 more
wiley   +1 more source

Improving 3D Object Detection in Neural Radiance Fields With Channel Attention

CAAI Transactions on Intelligence Technology
In recent years, 3D object detection using neural radiance fields (NeRF) has advanced significantly, yet challenges remain in effectively utilising the density field.
Minling Zhu, Yadong Gong, Dongbing Gu, Chunwei Tian   +3 more
doaj   +1 more source

BRDF-NeRF: Neural radiance fields with optical satellite images and BRDF modelling

International Journal of Applied Earth Observations and Geoinformation
Neural radiance fields (NeRF) have gained prominence as a machine learning technique for representing 3D scenes and estimating the bidirectional reflectance distribution function (BRDF) from multiple images. However, most existing research has focused on
Lulin Zhang, Ewelina Rupnik, Tri Dung Nguyen, Stéphane Jacquemoud, Yann Klinger   +4 more
doaj   +1 more source

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

Advanced Robotics Research, EarlyView.
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder, Jelizaveta Konstantinova, Graham Deacon, Kaspar Althoefer   +3 more
wiley   +1 more source

Learning Neural Radiance Fields of Forest Structure for Scalable and Fine Monitoring [PDF]

This work leverages neural radiance fields and remote sensing for forestry applications. Here, we show neural radiance fields offer a wide range of possibilities to improve upon existing remote sensing methods in forest monitoring. We present experiments
Castorena, Juan
core   +1 more source