Results 71 to 80 of about 25,965 (227)
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
KFD-NeRF: Rethinking Dynamic NeRF with Kalman Filter
accepted to ...
Zhan, Yifan +6 more
openaire +2 more sources
OUGS: Active View Selection via Object‐aware Uncertainty Estimation in 3DGS
Abstract Recent advances in 3D Gaussian Splatting (3DGS) have achieved state‐of‐the‐art results for novel view synthesis. However, efficiently capturing high‐fidelity reconstructions of specific objects within complex scenes remains a significant challenge.
Haiyi Li +3 more
wiley +1 more source
NeRF in NeRF: An Implicit Representation Watermark Algorithm for NeRF
Abstract The Neural Radiation Field (NeRF) has achieved significant results in the field of computer vision. However, training NeRF models requires a large amount of computing resources and training data. Once the model is stolen or abused by illegal users, it may cause huge losses to copyright owners.
Lifeng Chen +4 more
openaire +1 more source
LeafFit: Plant Assets Creation from 3D Gaussian Splatting
Abstract We propose LeafFit, a pipeline that converts 3D Gaussian Splatting (3DGS) of individual plants into editable, instanced mesh assets. While 3DGS faithfully captures complex foliage, its high memory footprint and lack of mesh topology make it incompatible with traditional game production workflows. We address this by leveraging the repetition of
Chang Luo, Nobuyuki Umetani
wiley +1 more source
La paralysie du nerf oculomoteur commun est rare chez le nourrisson. Plusieurs étiologies peuvent en être responsables. La vaccination contre la rougeole, les oreillons et la rubéole (ROR) pourrai être à l’origine d’effets indésirables qui peuvent être ...
Rim El Hachimi +3 more
doaj +1 more source
Obj-NeRF: Extract Object NeRFs from Multi-view Images
Neural Radiance Fields (NeRFs) have demonstrated remarkable effectiveness in novel view synthesis within 3D environments. However, extracting a radiance field of one specific object from multi-view images encounters substantial challenges due to occlusion and background complexity, thereby presenting difficulties in downstream applications such as NeRF
Li, Zhiyi, Ding, Lihe, Xue, Tianfan
openaire +2 more sources
Layer3D: A 3D Layered Representation for Multiview Vector Graphics
Abstract We present Layer3D, a novel 3D neural representation that models objects as collections of decomposable neural implicit primitives. These primitives enable the generation of layered images with consistent correspondences across viewpoints, establishing a flexible framework for multiview vector graphics decomposition.
Zhongyue Guan, Yixin Hu, Zeyu Wang
wiley +1 more source
Improving 3D Object Detection in Neural Radiance Fields With Channel Attention
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 +3 more
doaj +1 more source

