Results 91 to 100 of about 7,112 (233)
Leveraging Neural Radiance Fields for Large-Scale 3D Reconstruction from Aerial Imagery
Remote SensingSince conventional photogrammetric approaches struggle with with low-texture, reflective, and transparent regions, this study explores the application of Neural Radiance Fields (NeRFs) for large-scale 3D reconstruction of outdoor scenes, since NeRF-based
Max Hermann +3 more
doaj +1 more source
La « crise de nerfs », de la souffrance à la résistance ? [PDF]
, 2009 Fanny Gallot
openalex +1 more source
NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion [PDF]
, 2023 Jiatao Gu +6 more
openalex +1 more source
Sync-NeRF: Generalizing Dynamic NeRFs to Unsynchronized Videos
Proceedings of the AAAI Conference on Artificial IntelligenceRecent advancements in 4D scene reconstruction using neural radiance fields (NeRF) have demonstrated the ability to represent dynamic scenes from multi-view videos. However, they fail to reconstruct the dynamic scenes and struggle to fit even the training views in unsynchronized settings.
Kim, Seoha +5 more
openaire +2 more sources
Advanced ScienceElectrode grids are used in neuroscience research and clinical practice to record electrical activity from the surface of the brain. However, existing passive electrocorticography (ECoG) technologies are unable to offer both high spatial resolution and ...
Horacio Londoño‐Ramírez +11 more
doaj +1 more source
Di-NeRF: Distributed NeRF for Collaborative Learning With Relative Pose Refinement
IEEE Robotics and Automation Letters9 pages, 11 figures, Accepted in IEEE-RA ...
Mahboubeh Asadi +2 more
openaire +2 more sources
NeRF in the Palm of Your Hand: Corrective Augmentation for Robotics via Novel-View Synthesis [PDF]
, 2023 Allan Zhou +4 more
openalex +1 more source
Specularity in NeRFs: A Comparative Study of Ref-NeRF and NRFF
Image Processing On LineNeural Radiance Fields (NeRF) have emerged as a leading technology for 3D digitization, especially for their high accuracy and intricate detailing. Despite their advancements, early NeRF models struggle to handle reflections on specular surfaces effectively.
Barreiro, Albert +5 more
openaire +1 more source