Semantically-aware neural radiance fields for visual scene understanding: A comprehensive review
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 …
Mvpgs: Excavating multi-view priors for gaussian splatting from sparse input views
Abstract Recently, the Neural Radiance Field (NeRF) advancement has facilitated few-shot
Novel View Synthesis (NVS), which is a significant challenge in 3D vision applications …
Novel View Synthesis (NVS), which is a significant challenge in 3D vision applications …
AIM 2024 sparse neural rendering challenge: Dataset and benchmark
Recent developments in differentiable and neural rendering have made impressive
breakthroughs in a variety of 2D and 3D tasks, eg novel view synthesis, 3D reconstruction …
breakthroughs in a variety of 2D and 3D tasks, eg novel view synthesis, 3D reconstruction …
4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization
Novel view synthesis of dynamic scenes is becoming important in various applications,
including augmented and virtual reality. We propose a novel 4D Gaussian Splatting (4DGS) …
including augmented and virtual reality. We propose a novel 4D Gaussian Splatting (4DGS) …
Depth-guided nerf training via earth mover's distance
Abstract Neural Radiance Fields (NeRFs) are trained to minimize the rendering loss of
predicted viewpoints. However, the photometric loss often does not provide enough …
predicted viewpoints. However, the photometric loss often does not provide enough …
GeoRGS: Geometric Regularization for Real-Time Novel View Synthesis from Sparse Inputs
Z Liu, J Su, G Cai, Y Chen, B Zeng… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
When the number of available training views is limited, NeRF and 3DGS will soon overfit the
optimization and learn the wrong scene geometry. For this challenge, a common solution is …
optimization and learn the wrong scene geometry. For this challenge, a common solution is …
Disentangled Generation and Aggregation for Robust Radiance Fields
The utilization of the triplane-based radiance fields has gained attention in recent years due
to its ability to effectively disentangle 3D scenes with a high-quality representation and low …
to its ability to effectively disentangle 3D scenes with a high-quality representation and low …
High-Resolution and Few-Shot View Synthesis from Asymmetric Dual-Lens Inputs
Novel view synthesis has achieved remarkable quality and efficiency by the paradigm of 3D
Gaussian Splatting (3D-GS), but still faces two challenges: 1) significant performance …
Gaussian Splatting (3D-GS), but still faces two challenges: 1) significant performance …
基于神经辐射场的新视角合成研究进展
何高湘， 朱斌， 解博， 陈熠 - Laser & Optoelectronics Progress, 2024 - opticsjournal.net
摘要作为神经渲染领域中备受关注的研究方向之一, 神经辐射场(NeRF) 提供了一种新颖的隐式
三维场景表示方式. 该方法将场景构想为由无数发光粒子组成的介质, 并应用可微分的体积渲染 …
三维场景表示方式. 该方法将场景构想为由无数发光粒子组成的介质, 并应用可微分的体积渲染 …
Exploiting Depth Priors for Few-Shot Neural Radiance Field Reconstruction
S Chen, Z Li, H Zhu, W Tan, Y Ren… - IEEE Robotics and …, 2024 - ieeexplore.ieee.org
The performance of neural radiance field technologies deteriorates rapidly when sparse
views are used as input. In this paper, we propose a simulated viewpoint enhancement for …
views are used as input. In this paper, we propose a simulated viewpoint enhancement for …