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 …
AlignMiF: Geometry-Aligned Multimodal Implicit Field for LiDAR-Camera Joint Synthesis
Neural implicit fields have been a de facto standard in novel view synthesis. Recently there
exist some methods exploring fusing multiple modalities within a single field aiming to share …
exist some methods exploring fusing multiple modalities within a single field aiming to share …
Diff-2-in-1: Bridging Generation and Dense Perception with Diffusion Models
Beyond high-fidelity image synthesis, diffusion models have recently exhibited promising
results in dense visual perception tasks. However, most existing work treats diffusion models …
results in dense visual perception tasks. However, most existing work treats diffusion models …
NeRFmentation: NeRF-based Augmentation for Monocular Depth Estimation
The capabilities of monocular depth estimation (MDE) models are limited by the availability
of sufficient and diverse datasets. In the case of MDE models for autonomous driving, this …
of sufficient and diverse datasets. In the case of MDE models for autonomous driving, this …
VersatileGaussian: Real-time Neural Rendering for Versatile Tasks using Gaussian Splatting
The acquisition of multi-task (MT) labels in 3D scenes is crucial for a wide range of real-
world applications. Traditional methods generally employ an analysis-by-synthesis …
world applications. Traditional methods generally employ an analysis-by-synthesis …
[PDF][PDF] NeRF Explored: A Comprehensive Analysis of Neural Radiance Field in 3D Vision
M Haider, K Shahzad, AU Rameez, S Umair, S Abbas - researchgate.net
Neural Radiance Fields (NeRF) refers to a method in computer vision that uses the power of
Neural Networks to synthesize three-dimensional scenes from two-dimensional images …
Neural Networks to synthesize three-dimensional scenes from two-dimensional images …