Results 51 to 60 of about 7,112 (233)
Le nerf ulnaire au coude a une situation anatomique très particulière, qui explique son importante vulnérabilité. Les auteurs rapportent cinq cas, d'instabilité post-traumatique du nerf ulnaire avec luxation complète du nerf en avant de l'épitrochlée.
Azzelarab Bennis +5 more
doaj +1 more source
Mega-NeRF++: An Improved Scalable NeRFs for High-resolution Photogrammetric Images [PDF]
Over the last few years, implicit 3D representation has attracted more and more research endeavors, typified by the so-called Neural Radiance Fields (NeRF). The original NeRF and some relevant variants mostly address on small-scale scene (such as, indoor
Y. Xu, T. Wang, Z. Zhan, X. Wang
doaj +1 more source
Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities
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 +12 more
wiley +1 more source
EVALUATION OF NERF 3D RECONSTRUCTION FOR ROCK ART DOCUMENTATION [PDF]
Digital documentation of rock art traditionally relies on a point cloud captured by a terrestrial laser scanner (TLS) or derived from an oriented image obtained using photogrammetry.
K. Zainuddin +5 more
doaj +1 more source
NeRF for Outdoor Scene Relighting
Photorealistic editing of outdoor scenes from photographs requires a profound understanding of the image formation process and an accurate estimation of the scene geometry, reflectance and illumination. A delicate manipulation of the lighting can then be performed while keeping the scene albedo and geometry unaltered.
Viktor Rudnev +5 more
openaire +4 more sources
Super Time‐Resolved Tomography
A super time‐resolved tomography (STRT) approach is presented to reconstruct 4D X‐ray movies with an order‐of‐magnitude improvement in temporal resolution without sacrificing spatial resolution. By leveraging a physics‐informed deep learning algorithm that shares spatiotemporal features, STRT achieves high‐fidelity 3D reconstructions from sparse‐view ...
Zhe Hu +6 more
wiley +1 more source
Self‐Driving Microscopes: AI Meets Super‐Resolution Microscopy
This review examines the use of machine learning to automate super‐resolution optical microscopy, enabling the microscope to autonomously make decisions on what, when, and how to image. By eliminating the need for human intervention, this approach has the potential to enhance the versatility and accessibility of super‐resolution microscopy.
Edward N. Ward +3 more
wiley +1 more source
Time‐Varying 3D Gaussian Splatting Representation for Dynamic Scenes
Explicit polynomial motion and smooth rotation within the lifespan are employed to model dynamic scenes. The density control strategy based on 4D spatiotemporal and contribution scores enhances image details. Photorealistic rendering quality with real‐time performance at 160 FPS on the Neural 3D Video dataset.
Yunbiao Liu +4 more
wiley +1 more source
Enhancing View Synthesis with Depth-Guided Neural Radiance Fields and Improved Depth Completion
Neural radiance fields (NeRFs) leverage a neural representation to encode scenes, obtaining photorealistic rendering of novel views. However, NeRF has notable limitations.
Bojun Wang +3 more
doaj +1 more source
VF-NeRF: Viewshed Fields for Rigid NeRF Registration
3D scene registration is a fundamental problem in computer vision that seeks the best 6-DoF alignment between two scenes. This problem was extensively investigated in the case of point clouds and meshes, but there has been relatively limited work regarding Neural Radiance Fields (NeRF).
Segre, Leo, Avidan, Shai
openaire +2 more sources

