Neural radiance fields in the industrial and robotics domain: applications, research opportunities and use cases
The proliferation of technologies, such as extended reality (XR), has increased the demand
for high-quality three-dimensional (3D) graphical representations. Industrial 3D applications …
for high-quality three-dimensional (3D) graphical representations. Industrial 3D applications …
Benchmarking neural radiance fields for autonomous robots: An overview
Abstract Neural Radiance Field (NeRF) has emerged as a powerful paradigm for scene
representation, offering high-fidelity renderings and reconstructions from a set of sparse and …
representation, offering high-fidelity renderings and reconstructions from a set of sparse and …
InfoNorm: Mutual Information Shaping of Normals for Sparse-View Reconstruction
Abstract 3D surface reconstruction from multi-view images is esseorgnamential for scene
understanding and interaction. However, complex indoor scenes pose challenges such as …
understanding and interaction. However, complex indoor scenes pose challenges such as …
PanopticNeRF-360: Panoramic 3D-to-2D Label Transfer in Urban Scenes
Training perception systems for self-driving cars requires substantial annotations. However,
manual labeling in 2D images is highly labor-intensive. While existing datasets provide rich …
manual labeling in 2D images is highly labor-intensive. While existing datasets provide rich …
Semantically-aware Neural Radiance Fields for Visual Scene Understanding: A Comprehensive Review
TAQ Nguyen, A Bourki, M Macudzinski… - arXiv preprint arXiv …, 2024 - arxiv.org
This review thoroughly examines the role of semantically-aware Neural Radiance Fields
(NeRFs) in visual scene understanding, covering an analysis of over 250 scholarly papers. It …
(NeRFs) in visual scene understanding, covering an analysis of over 250 scholarly papers. It …
Sg-nerf: Neural surface reconstruction with scene graph optimization
3D surface reconstruction from images is essential for numerous applications. Recently,
Neural Radiance Fields (NeRFs) have emerged as a promising framework for 3D modeling …
Neural Radiance Fields (NeRFs) have emerged as a promising framework for 3D modeling …
InfoGaussian: Structure-Aware Dynamic Gaussians through Lightweight Information Shaping
3D Gaussians, as a low-level scene representation, typically involve thousands to millions of
Gaussians. This makes it difficult to control the scene in ways that reflect the underlying …
Gaussians. This makes it difficult to control the scene in ways that reflect the underlying …
RoboPanoptes: The All-seeing Robot with Whole-body Dexterity
We present RoboPanoptes, a capable yet practical robot system that achieves whole-body
dexterity through whole-body vision. Its whole-body dexterity allows the robot to utilize its …
dexterity through whole-body vision. Its whole-body dexterity allows the robot to utilize its …
神经辐射场技术及应用综述
陈涛， 杨启亮， 陈寅 - 计算机辅助设计与图形学学报 - jcad.cn
神经辐射场(NERF) 是一种基于神经网络的三维重建技术, 它将场景定义为位置和观察视角的五
维辐射场函数, 并通过隐式的神经网络来表示. 该技术仅需要单个场景在不同视角下的二维图像 …
维辐射场函数, 并通过隐式的神经网络来表示. 该技术仅需要单个场景在不同视角下的二维图像 …
SG-NeRF: Neural Surface Reconstruction with Scene Graph Optimization
Y Yang - European Conference on Computer Vision, ECCV …, 2024 - Springer
3D surface reconstruction from images is essential for numerous applications. Recently,
Neural Radiance Fields (NeRFs) have emerged as a promising framework for 3D modeling …
Neural Radiance Fields (NeRFs) have emerged as a promising framework for 3D modeling …